Deep Learning: Foundations and Concepts
Christopher Bishop, Hugh Bishop
Published by Springer Cham | November 2023
Christopher Bishop
Technical Fellow and Director, Microsoft Research AI for Science
Publications
Publications by Year
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Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
JAMA | November 2020
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Exposing variation in climate change risk assessment
Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
AGU Fall Meeting | December 2015
Accepted talk at 2015 Fall Meeting of American Geophysical Union
Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years
Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop, Clare Mills, Adnan Custovic
Journal of Allergy and Clinical Immunology | November 2015
The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together
Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop, Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson
Thorax | March 2015
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Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
Bulletin of the American Meteorological Society | October 2014
Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, Adnan Custovic
PLOS Medicine | October 2014
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
Bar Shalem, John Guiver, Christopher Bishop, Yoram Bachrach
September 2014
Trajectories of Lung Function during Childhood
Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop, Lesley Lowe, Angela Simpson, Adnan Custovic
American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109
Artificial Life
Life | January 2014
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Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts
N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop, John Winn, J.A. Curtin, S. Hasan Arshad, A. Simpson
Allergy | June 2013, Vol 68(6): pp. 764
Model-Based Machine Learning
Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 1–17
Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables
Nevena Lazic, Christopher Bishop, John Winn
Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013
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Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition
Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop
Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012
ISBN: ISBN-13 978-88-207-5364-1
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Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting
Markus Svensén, Qing Xu, David Stern, Steve Hanks, Christopher Bishop
In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011
A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma
Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011
ISBN: 978-84-694-5129-8
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Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
Angela Simpson, Vincent Y. Tan, John Winn, Markus Svensén, Christopher Bishop, David Heckerman, Iain Buchan, Adnan Custovic
American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206
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A Unified Modeling Approach to Data-Intensive Healthcare
Iain Buchan, John Winn, Christopher Bishop
The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
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A New Framework for Machine Learning
In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008
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Generative or Discriminative? Getting the Best of Both Worlds
Christopher Bishop, Julia Lasserre
Bayesian Statistics | January 2007, Vol 8: pp. 3–23
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Discriminative Writer Adaptation
Martin Szummer, Christopher Bishop
10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006
Principled Hybrids of Generative and Discriminative Models
Julia A. Lasserre, Christopher Bishop, Tom Minka
IEEE Conference on Computer Vision and Pattern Recognition | June 2006
Pattern Recognition and Machine Learning
Published by Springer | January 2006
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Generative versus Discriminative Methods for Object Recognition
Ilkay Ulusoy, Christopher Bishop
In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Ilkay Ulusoy, Christopher Bishop
Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005
Object Recognition via Local Patch Labelling
Christopher Bishop, Ilkay Ulusoy
Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005
Robust Bayesian Mixture Modelling
Markus Svensén, Christopher Bishop
Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
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Generative Models and Bayesian Model Comparison for Shape Recognition
Balaji Krishnapuram, Christopher Bishop, Martin Szummer
9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004
Clumps, Clusters and Classification
Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition
Distinguishing text from graphics in on-line handwritten ink
Christopher Bishop, Markus Svensén, Geoffrey E. Hinton
Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004
accepted for publication
Variational Message Passing
Journal of Machine Learning Research | January 2004, Vol 5
Accepted for publication
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Bayesian Hierarchical Mixtures of Experts
Christopher Bishop, Markus Svensén
Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003
Bayesian Regression and Classification
Christopher Bishop, Michael E. Tipping
January 2003, Vol 190: pp. 267-285
Advances in Learning Theory: Methods, Models and Applications
Structured Variational Distributions in VIBES
Proceedings Artificial Intelligence and Statistics | January 2003
ISBN 0-9727358-0-1
Super-resolution Enhancement of Video
Christopher Bishop, Andrew Blake, Bhaskara Marthi
Proceedings Artificial Intelligence and Statistics | January 2003
ISBN 0-9727358-0-1
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Bayesian Image Super-resolution
Michael E. Tipping, Christopher Bishop
Advances in Neural Information Processing Systems | January 2002
Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch
Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002
Proceedings Seventh Valencia International Meeting on Bayesian Statistics
VIBES: A variational inference engine for Bayesian networks
C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop, John Winn
Advances in Neural Information Processing Systems | January 2002
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Automatic signal classification in fluorescence in-situ hybridization images
B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop
Cytometry | January 2001, Vol 43: pp. 87-93
Feature representation for the automatic analysis of fluorescence in-situ hybridization images
Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop
IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665
Optimising Synchronisation Times for Mobile Devices
Neil D. Lawrence, Ant Rowstron, Christopher Bishop, Mike Taylor
Advances in Neural Information Processing Systems | January 2001
Probabilistic Modelling of Replica Divergence
Ant Rowstron, N. D. Lawrence, Christopher Bishop
HotOS 2001 | January 2001
Variational Bayesian Model Selection for Mixture Distributions
A. Corduneanu, Christopher Bishop
Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001
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Non-linear Bayesian image modelling
C. M. Bishop, J. M. Winn, Christopher Bishop, John Winn
Proceedings Sixth European Conference on Computer Vision | January 2000
Proceedings Sixth European Conference on Computer Vision
Winner of ECCV 2000 Best Paper Prize
Variational Relevance Vector Machines
Christopher Bishop, Michael E Tipping
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
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Bayesian PCA
Advances in Neural Information Processing Systems | January 1999
Latent Variable Models
Learning in Graphical Models | January 1999
Mixtures of Probabilistic Principal Component Analyzers
M. E. Tipping, Christopher Bishop
Neural Computation | January 1999, Vol 11: pp. 443-482
Neural network training using multi-channel data with aggregate labelling
N. McGrogan, Christopher Bishop, L. Tarassenko
Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data
Dan Cornford, Ian T. Nabney, Christopher Bishop
Neural Computing and Applications | January 1999, Vol 8: pp. 206-217
Pattern Recognition and Feedforward Neural Networks
January 1999, pp. 629-631
The MIT Encyclopedia of the Cognitive Sciences
Probabilistic Principal Component Analysis
M. E. Tipping, Christopher Bishop
Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622
Available from http://www.ncrg.aston.ac.uk/Papers/index.html
Variational Principal Components
Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
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Neural Networks and Machine Learning
Published by Springer Verlag | November 1998, Vol 168
A Hierarchical Latent Variable Model for Data Visualization
Christopher Bishop, M. E. Tipping
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293
Approximating posterior distributions in belief networks using mixtures
Christopher Bishop, N. Lawrence, T. Jaakkola, M. I. Jordan
Advances in Neural Information Processing Systems | January 1998
Advances in Neural Information Processing Systems
Developments of the Generative Topographic Mapping
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
Neurocomputing | January 1998, Vol 21: pp. 203-224
Ensemble learning for multi-layer networks
D. Barber, Christopher Bishop
Advances in Neural Information Processing Systems | January 1998
Ensemble learning in Bayesian neural networks
D. Barber, Christopher Bishop
Generalization in Neural Networks and Machine Learning | January 1998
Generalization in Neural Networks and Machine Learning
GTM: The Generative Topographic Mapping
Christopher Bishop, Markus Svensén, Christopher K.I. Williams
January 1998, Vol 10: pp. 215-234
January 1998
Markovian Inference in Belief Networks
B. J. Frey, N. Lawrence, Christopher Bishop
January 1998
Presented at the Learning Workshop, Snowbird
Mixture representations for inference and learning in Boltzmann machines
N. Lawrence, Christopher Bishop, M. Jordan
Uncertainty in Artificial Intelligence | January 1998
Uncertainty in Artificial Intelligence
Pulsed Neural Networks
Wolfgang Maass, Christopher Bishop
Published by MIT Press | January 1998
Regression with Input-Dependent Noise: A Gaussian Process Treatment
Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop
NCRG/98/002 | January 1998
Advances in Neural Information Processing Systems
Variational Learning in Graphical Models and Neural Networks
Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998
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An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression
Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition
ISBN: 978-1-4615-6099-9
Bayesian Inference of Noise Levels in Regression
Christopher Bishop, C. S. Qazaz
Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997
Bayesian Model Comparison by Monte Carlo Chaining
David Barber, Christopher Bishop
Advances in Neural Information Processing Systems | January 1997
Bayesian neural networks
Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68
Special issue on neural networks
GTM through time
Christopher Bishop, Geoffrey E. Hinton, Iain G. D. Strachan
Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
GTM: a principled alternative to the Self-Organizing Map
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
International Conference on Artificial Neural Networks, ICANN'96 | January 1997
Latent Variables, Topographic Mappings and Data Visualization
Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997
Magnification factors for the GTM algorithm
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
Modelling Conditional Probability Densities for Periodic Variables
Christopher Bishop, Ian T. Nabney
Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition
Neural Networks
Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition
Neural Networks
M. I. Jordan, Christopher Bishop
Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition
Regression with Input-Dependent Noise: A Bayesian Treatment
Christopher Bishop, Cazhaow S. Qazaz
Advances in Neural Information Processing Systems | January 1997
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EM optimization of latent variable density models
Christopher Bishop, Markus Svensén, C. K. I. Williams
Advances in Neural Information Processing Systems | January 1996
Modelling conditional probability distributions for periodic variables
Christopher Bishop, I. T. Nabney
Neural Computation | January 1996, Vol 8(5): pp. 1123-1133
Neural Networks
M. I. Jordan, Christopher Bishop
ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
Neural Networks: A Pattern Recognition Perspective
Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
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Bayesian methods for neural networks
NCRG/95/009 | January 1995
USENIX ICAC
Estimating conditional probability densities for periodic variables
Christopher Bishop, C. Legleye
Advances in Neural Information Processing Systems | January 1995
Advances in Neural Information Processing Systems
Modelling Conditional Probability Distributions for Periodic Variables
Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995
Multiphase Flow Monitoring in Oil Pipelines
Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition
Neural Networks for Pattern Recognition
Published by Oxford University Press | January 1995
On the relationship between Bayesian error bars and the input data density
C. K. I. Williams, C. Qazaz, Christopher Bishop, H. Zhu
Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995
Real-time Control of a Tokamak Plasma using Neural Networks
Christopher Bishop, Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor
Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014
Real-time Control of a Tokamak Plasma Using Neural Networks
Christopher Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Computation | January 1995
Recent Progress in the Measurement and Analysis of ECE on JET
D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop
Proceedings of the 9th International Workshop on ECE and ECRH | January 1995
Proceedings of the 9th International Workshop on ECE and ECRH
Regularization and Complexity Control in Feed-forward Networks
Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995
Proceedings International Conference on Artificial Neural Networks ICANN'95
Training with noise is equivalent to Tikhonov regularization
Neural Computation | January 1995, Vol 7(1): pp. 108-116
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Neural Networks and Their Applications
Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832
An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas
N. Deliyanakis, Christopher Bishop, J. W. Connor, M. Cox, D. C. Robinson
Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406
Fast Feedback Control of a High Temperature Fusion Plasma
Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159
Mixture Density Networks
NCRG/94/004 | January 1994
Novelty Detection and Neural Network Validation
IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994
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Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows
C. M. Bishop, Christopher Bishop
Proceedings IEE Conference on Artificial Neural Networks | May 1993
Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks
Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593
Automatic analysis of JET charge exchange recombination spectra using neural networks
Christopher Bishop, C. M. Roach, M. G. von Hellermann
Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773
Curvature-driven smoothing: a learning algorithm for feedforward networks
IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
Novelty Detection and Neural Network Validation
Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993
Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
Christopher Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
Neural Computing and Applications | January 1993, Vol 1(1): pp. 4–16
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Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition
Fast Curve Fitting Using Neural Networks
Review of Scientific Instruments | June 1992
A Neural Network Approach to Tokamak Equilibrium Control
Christopher Bishop, Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition
Curvature-driven Smoothing in Back-propagation Neural Networks
Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
Neural Computation | January 1992, Vol 4: pp. 494-501
Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D
Christopher Bishop, P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith
Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992
Neural Network Approach to Energy Confinement Scaling in Tokamaks
Leslie Alan, Christopher Bishop
Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302
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A Fast Procedure for Retraining the Multilayer Perceptron
International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236
A Fast Procedure for Retraining the Multilayer Perceptron
C. M. Bishop, Christopher Bishop
International Journal of Neural Systems | January 1991, pp. 229-236
Improving the Generalization Properties of Radial Basis Function Neural Networks
Neural Computation | January 1991, Vol 3(4): pp. 579-588
On the Difficulty of Determining Tearing Mode Stability
Christopher Bishop, J. W. Connor, R. J. Hastie, S. C. Cowley
Plasma Physics | January 1991, Vol 33: pp. 389-395
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Ballooning Delta-prime in the Second Stable Region
Physics of Fluids | August 1990
Curvature-driven Smoothing in Back-propagation Neural Networks
Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition
Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations
Christopher Bishop, J. W. Connor
Plasma Physics | January 1990, Vol 32: pp. 203
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Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks
S. Briguglio, Christopher Bishop, J. W. Connor, R. J. Hastie, F. Romanelli
Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449
Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma
Christopher Bishop, R. Fitzpatrick, R. J. Hastie, J. C. Jackson
Plasma Physics | January 1989, Vol 31: pp. 431
An Intelligent Shell for the Toroidal Pinch
C. M. Bishop, Christopher Bishop
Plasma Physics | January 1989, Vol 31: pp. 1179
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Resistive Ballooning Modes and the Second Region of Stability
A. Sykes, Christopher Bishop, R. J. Hastie
Plasma Physics | January 1987, Vol 29: pp. 719
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Bifurcated Temperature Profiles and the H-mode
Nuclear Fusion | January 1986, Vol 27: pp. 1765
Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B
Christopher Bishop, J. B. Taylor
Physics of Fluids | January 1986, Vol 29: pp. 1444
Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks
| January 1986
Principles of Programming Languages (POPL '08)
Stability of Localised MHD Modes in Divertor Tokamaks – a picture of the H-mode
Nuclear Fusion | January 1986, Vol 26: pp. 1063
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Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes
Christopher Bishop, R.J. Hastie
Nuclear Fusion | January 1985
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Ideal MHD Ballooning Stability in the Vicinity of a Separatrix
Christopher Bishop, P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor
Nuclear Fusion | January 1984, Vol 24(12): pp. 1579
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Topological Charge Distribution in SU(N) Gauge Theories
Christopher Bishop, P. V. D. Swift
Physics Letters | January 1983, Vol 129: pp. 198
Publications by Research Area
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Feature representation for the automatic analysis of fluorescence in-situ hybridization images
Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop
IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665
Variational Relevance Vector Machines
Christopher Bishop, Michael E Tipping
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data
Dan Cornford, Ian T. Nabney, Christopher Bishop
Neural Computing and Applications | January 1999, Vol 8: pp. 206-217
Neural network training using multi-channel data with aggregate labelling
N. McGrogan, Christopher Bishop, L. Tarassenko
Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
Latent Variable Models
Learning in Graphical Models | January 1999
Bayesian PCA
Advances in Neural Information Processing Systems | January 1999
Mixtures of Probabilistic Principal Component Analyzers
M. E. Tipping, Christopher Bishop
Neural Computation | January 1999, Vol 11: pp. 443-482
Neural Networks and Machine Learning
Published by Springer Verlag | November 1998, Vol 168
Regression with Input-Dependent Noise: A Gaussian Process Treatment
Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop
NCRG/98/002 | January 1998
Advances in Neural Information Processing Systems
GTM: The Generative Topographic Mapping
Christopher Bishop, Markus Svensén, Christopher K.I. Williams
January 1998, Vol 10: pp. 215-234
January 1998
Pulsed Neural Networks
Wolfgang Maass, Christopher Bishop
Published by MIT Press | January 1998
Markovian Inference in Belief Networks
B. J. Frey, N. Lawrence, Christopher Bishop
January 1998
Presented at the Learning Workshop, Snowbird
Ensemble learning in Bayesian neural networks
D. Barber, Christopher Bishop
Generalization in Neural Networks and Machine Learning | January 1998
Generalization in Neural Networks and Machine Learning
Mixture representations for inference and learning in Boltzmann machines
N. Lawrence, Christopher Bishop, M. Jordan
Uncertainty in Artificial Intelligence | January 1998
Uncertainty in Artificial Intelligence
Ensemble learning for multi-layer networks
D. Barber, Christopher Bishop
Advances in Neural Information Processing Systems | January 1998
Approximating posterior distributions in belief networks using mixtures
Christopher Bishop, N. Lawrence, T. Jaakkola, M. I. Jordan
Advances in Neural Information Processing Systems | January 1998
Advances in Neural Information Processing Systems
Neural Networks
Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition
Neural Networks
M. I. Jordan, Christopher Bishop
Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition
An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression
Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition
ISBN: 978-1-4615-6099-9
Latent Variables, Topographic Mappings and Data Visualization
Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997
Bayesian neural networks
Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68
Special issue on neural networks
Bayesian Model Comparison by Monte Carlo Chaining
David Barber, Christopher Bishop
Advances in Neural Information Processing Systems | January 1997
Regression with Input-Dependent Noise: A Bayesian Treatment
Christopher Bishop, Cazhaow S. Qazaz
Advances in Neural Information Processing Systems | January 1997
Modelling Conditional Probability Densities for Periodic Variables
Christopher Bishop, Ian T. Nabney
Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition
Neural Networks
M. I. Jordan, Christopher Bishop
ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
Modelling conditional probability distributions for periodic variables
Christopher Bishop, I. T. Nabney
Neural Computation | January 1996, Vol 8(5): pp. 1123-1133
Neural Networks: A Pattern Recognition Perspective
Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
EM optimization of latent variable density models
Christopher Bishop, Markus Svensén, C. K. I. Williams
Advances in Neural Information Processing Systems | January 1996
Multiphase Flow Monitoring in Oil Pipelines
Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition
Modelling Conditional Probability Distributions for Periodic Variables
Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995
Real-time Control of a Tokamak Plasma using Neural Networks
Christopher Bishop, Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor
Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014
Neural Networks for Pattern Recognition
Published by Oxford University Press | January 1995
Bayesian methods for neural networks
NCRG/95/009 | January 1995
USENIX ICAC
Estimating conditional probability densities for periodic variables
Christopher Bishop, C. Legleye
Advances in Neural Information Processing Systems | January 1995
Advances in Neural Information Processing Systems
Recent Progress in the Measurement and Analysis of ECE on JET
D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop
Proceedings of the 9th International Workshop on ECE and ECRH | January 1995
Proceedings of the 9th International Workshop on ECE and ECRH
Real-time Control of a Tokamak Plasma Using Neural Networks
Christopher Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Computation | January 1995
Regularization and Complexity Control in Feed-forward Networks
Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995
Proceedings International Conference on Artificial Neural Networks ICANN'95
Training with noise is equivalent to Tikhonov regularization
Neural Computation | January 1995, Vol 7(1): pp. 108-116
On the relationship between Bayesian error bars and the input data density
C. K. I. Williams, C. Qazaz, Christopher Bishop, H. Zhu
Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995
Neural Networks and Their Applications
Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832
Fast Feedback Control of a High Temperature Fusion Plasma
Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159
Novelty Detection and Neural Network Validation
IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994
Mixture Density Networks
NCRG/94/004 | January 1994
Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows
C. M. Bishop, Christopher Bishop
Proceedings IEE Conference on Artificial Neural Networks | May 1993
Novelty Detection and Neural Network Validation
Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993
Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
Christopher Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
Neural Computing and Applications | January 1993, Vol 1(1): pp. 4–16
Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks
Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593
Curvature-driven smoothing: a learning algorithm for feedforward networks
IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
Automatic analysis of JET charge exchange recombination spectra using neural networks
Christopher Bishop, C. M. Roach, M. G. von Hellermann
Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773
Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition
Fast Curve Fitting Using Neural Networks
Review of Scientific Instruments | June 1992
Curvature-driven Smoothing in Back-propagation Neural Networks
Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition
A Neural Network Approach to Tokamak Equilibrium Control
Christopher Bishop, Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
Neural Computation | January 1992, Vol 4: pp. 494-501
Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D
Christopher Bishop, P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith
Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992
A Fast Procedure for Retraining the Multilayer Perceptron
International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236
Improving the Generalization Properties of Radial Basis Function Neural Networks
Neural Computation | January 1991, Vol 3(4): pp. 579-588
A Fast Procedure for Retraining the Multilayer Perceptron
C. M. Bishop, Christopher Bishop
International Journal of Neural Systems | January 1991, pp. 229-236
Ballooning Delta-prime in the Second Stable Region
Physics of Fluids | August 1990
Curvature-driven Smoothing in Back-propagation Neural Networks
Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition
Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks
S. Briguglio, Christopher Bishop, J. W. Connor, R. J. Hastie, F. Romanelli
Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449
Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma
Christopher Bishop, R. Fitzpatrick, R. J. Hastie, J. C. Jackson
Plasma Physics | January 1989, Vol 31: pp. 431
Bifurcated Temperature Profiles and the H-mode
Nuclear Fusion | January 1986, Vol 27: pp. 1765
Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks
| January 1986
Principles of Programming Languages (POPL '08)
Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B
Christopher Bishop, J. B. Taylor
Physics of Fluids | January 1986, Vol 29: pp. 1444
Stability of Localised MHD Modes in Divertor Tokamaks – a picture of the H-mode
Nuclear Fusion | January 1986, Vol 26: pp. 1063
Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes
Christopher Bishop, R.J. Hastie
Nuclear Fusion | January 1985
Ideal MHD Ballooning Stability in the Vicinity of a Separatrix
Christopher Bishop, P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor
Nuclear Fusion | January 1984, Vol 24(12): pp. 1579
Topological Charge Distribution in SU(N) Gauge Theories
Christopher Bishop, P. V. D. Swift
Physics Letters | January 1983, Vol 129: pp. 198
Deep Learning: Foundations and Concepts
Christopher Bishop, Hugh Bishop
Published by Springer Cham | November 2023
Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
JAMA | November 2020
Exposing variation in climate change risk assessment
Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
AGU Fall Meeting | December 2015
Accepted talk at 2015 Fall Meeting of American Geophysical Union
Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years
Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop, Clare Mills, Adnan Custovic
Journal of Allergy and Clinical Immunology | November 2015
Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
Bulletin of the American Meteorological Society | October 2014
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
Bar Shalem, John Guiver, Christopher Bishop, Yoram Bachrach
September 2014
Artificial Life
Life | January 2014
Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts
N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop, John Winn, J.A. Curtin, S. Hasan Arshad, A. Simpson
Allergy | June 2013, Vol 68(6): pp. 764
Model-Based Machine Learning
Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 1–17
Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables
Nevena Lazic, Christopher Bishop, John Winn
Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013
Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition
Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop
Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012
ISBN: ISBN-13 978-88-207-5364-1
Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting
Markus Svensén, Qing Xu, David Stern, Steve Hanks, Christopher Bishop
In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011
A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma
Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011
ISBN: 978-84-694-5129-8
Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
Angela Simpson, Vincent Y. Tan, John Winn, Markus Svensén, Christopher Bishop, David Heckerman, Iain Buchan, Adnan Custovic
American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206
A Unified Modeling Approach to Data-Intensive Healthcare
Iain Buchan, John Winn, Christopher Bishop
The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
A New Framework for Machine Learning
In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008
Generative or Discriminative? Getting the Best of Both Worlds
Christopher Bishop, Julia Lasserre
Bayesian Statistics | January 2007, Vol 8: pp. 3–23
Principled Hybrids of Generative and Discriminative Models
Julia A. Lasserre, Christopher Bishop, Tom Minka
IEEE Conference on Computer Vision and Pattern Recognition | June 2006
Pattern Recognition and Machine Learning
Published by Springer | January 2006
Generative versus Discriminative Methods for Object Recognition
Ilkay Ulusoy, Christopher Bishop
In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Ilkay Ulusoy, Christopher Bishop
Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005
Object Recognition via Local Patch Labelling
Christopher Bishop, Ilkay Ulusoy
Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005
Robust Bayesian Mixture Modelling
Markus Svensén, Christopher Bishop
Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
Generative Models and Bayesian Model Comparison for Shape Recognition
Balaji Krishnapuram, Christopher Bishop, Martin Szummer
9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004
Clumps, Clusters and Classification
Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition
Distinguishing text from graphics in on-line handwritten ink
Christopher Bishop, Markus Svensén, Geoffrey E. Hinton
Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004
accepted for publication
Bayesian Regression and Classification
Christopher Bishop, Michael E. Tipping
January 2003, Vol 190: pp. 267-285
Advances in Learning Theory: Methods, Models and Applications
Bayesian Image Super-resolution
Michael E. Tipping, Christopher Bishop
Advances in Neural Information Processing Systems | January 2002
Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch
Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002
Proceedings Seventh Valencia International Meeting on Bayesian Statistics
-
Automatic signal classification in fluorescence in-situ hybridization images
B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop
Cytometry | January 2001, Vol 43: pp. 87-93
An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas
N. Deliyanakis, Christopher Bishop, J. W. Connor, M. Cox, D. C. Robinson
Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406
Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
JAMA | November 2020
Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, Adnan Custovic
PLOS Medicine | October 2014
Trajectories of Lung Function during Childhood
Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop, Lesley Lowe, Angela Simpson, Adnan Custovic
American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109
A Unified Modeling Approach to Data-Intensive Healthcare
Iain Buchan, John Winn, Christopher Bishop
The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
-
On the Difficulty of Determining Tearing Mode Stability
Christopher Bishop, J. W. Connor, R. J. Hastie, S. C. Cowley
Plasma Physics | January 1991, Vol 33: pp. 389-395
Exposing variation in climate change risk assessment
Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
AGU Fall Meeting | December 2015
Accepted talk at 2015 Fall Meeting of American Geophysical Union
Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
Bulletin of the American Meteorological Society | October 2014
-
A Hierarchical Latent Variable Model for Data Visualization
Christopher Bishop, M. E. Tipping
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293
The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together
Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop, Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson
Thorax | March 2015
-
Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
Bulletin of the American Meteorological Society | October 2014
-
Resistive Ballooning Modes and the Second Region of Stability
A. Sykes, Christopher Bishop, R. J. Hastie
Plasma Physics | January 1987, Vol 29: pp. 719
Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
Bulletin of the American Meteorological Society | October 2014
Discriminative Writer Adaptation
Martin Szummer, Christopher Bishop
10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006
-
Neural Network Approach to Energy Confinement Scaling in Tokamaks
Leslie Alan, Christopher Bishop
Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302
Robust Bayesian Mixture Modelling
Markus Svensén, Christopher Bishop
Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
-
Variational Bayesian Model Selection for Mixture Distributions
A. Corduneanu, Christopher Bishop
Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001
Variational Principal Components
Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
Variational Learning in Graphical Models and Neural Networks
Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998
Variational Message Passing
Journal of Machine Learning Research | January 2004, Vol 5
Accepted for publication
VIBES: A variational inference engine for Bayesian networks
C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop, John Winn
Advances in Neural Information Processing Systems | January 2002
-
Super-resolution Enhancement of Video
Christopher Bishop, Andrew Blake, Bhaskara Marthi
Proceedings Artificial Intelligence and Statistics | January 2003
ISBN 0-9727358-0-1
-
Probabilistic Modelling of Replica Divergence
Ant Rowstron, N. D. Lawrence, Christopher Bishop
HotOS 2001 | January 2001
Optimising Synchronisation Times for Mobile Devices
Neil D. Lawrence, Ant Rowstron, Christopher Bishop, Mike Taylor
Advances in Neural Information Processing Systems | January 2001
Non-linear Bayesian image modelling
C. M. Bishop, J. M. Winn, Christopher Bishop, John Winn
Proceedings Sixth European Conference on Computer Vision | January 2000
Proceedings Sixth European Conference on Computer Vision
Winner of ECCV 2000 Best Paper Prize
Pattern Recognition and Feedforward Neural Networks
January 1999, pp. 629-631
The MIT Encyclopedia of the Cognitive Sciences
Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations
Christopher Bishop, J. W. Connor
Plasma Physics | January 1990, Vol 32: pp. 203
Structured Variational Distributions in VIBES
Proceedings Artificial Intelligence and Statistics | January 2003
ISBN 0-9727358-0-1
-
Bayesian Hierarchical Mixtures of Experts
Christopher Bishop, Markus Svensén
Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003
-
Probabilistic Principal Component Analysis
M. E. Tipping, Christopher Bishop
Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622
Available from http://www.ncrg.aston.ac.uk/Papers/index.html
Mixtures of Probabilistic Principal Component Analyzers
M. E. Tipping, Christopher Bishop
Neural Computation | January 1999, Vol 11: pp. 443-482
Developments of the Generative Topographic Mapping
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
Neurocomputing | January 1998, Vol 21: pp. 203-224
GTM: a principled alternative to the Self-Organizing Map
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
International Conference on Artificial Neural Networks, ICANN'96 | January 1997
Magnification factors for the GTM algorithm
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
GTM through time
Christopher Bishop, Geoffrey E. Hinton, Iain G. D. Strachan
Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
Bayesian Inference of Noise Levels in Regression
Christopher Bishop, C. S. Qazaz
Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997
Curvature-driven smoothing: a learning algorithm for feedforward networks
IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
-
An Intelligent Shell for the Toroidal Pinch
C. M. Bishop, Christopher Bishop
Plasma Physics | January 1989, Vol 31: pp. 1179
Publications by Type
-
Neural Networks and Machine Learning
Published by Springer Verlag | November 1998, Vol 168
Pulsed Neural Networks
Wolfgang Maass, Christopher Bishop
Published by MIT Press | January 1998
Neural Networks for Pattern Recognition
Published by Oxford University Press | January 1995
Deep Learning: Foundations and Concepts
Christopher Bishop, Hugh Bishop
Published by Springer Cham | November 2023
Pattern Recognition and Machine Learning
Published by Springer | January 2006
-
Automatic signal classification in fluorescence in-situ hybridization images
B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop
Cytometry | January 2001, Vol 43: pp. 87-93
Feature representation for the automatic analysis of fluorescence in-situ hybridization images
Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop
IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data
Dan Cornford, Ian T. Nabney, Christopher Bishop
Neural Computing and Applications | January 1999, Vol 8: pp. 206-217
Probabilistic Principal Component Analysis
M. E. Tipping, Christopher Bishop
Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622
Available from http://www.ncrg.aston.ac.uk/Papers/index.html
Mixtures of Probabilistic Principal Component Analyzers
M. E. Tipping, Christopher Bishop
Neural Computation | January 1999, Vol 11: pp. 443-482
Developments of the Generative Topographic Mapping
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
Neurocomputing | January 1998, Vol 21: pp. 203-224
A Hierarchical Latent Variable Model for Data Visualization
Christopher Bishop, M. E. Tipping
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293
Bayesian neural networks
Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68
Special issue on neural networks
Modelling conditional probability distributions for periodic variables
Christopher Bishop, I. T. Nabney
Neural Computation | January 1996, Vol 8(5): pp. 1123-1133
Real-time Control of a Tokamak Plasma using Neural Networks
Christopher Bishop, Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor
Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014
Training with noise is equivalent to Tikhonov regularization
Neural Computation | January 1995, Vol 7(1): pp. 108-116
Neural Networks and Their Applications
Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832
Fast Feedback Control of a High Temperature Fusion Plasma
Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159
An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas
N. Deliyanakis, Christopher Bishop, J. W. Connor, M. Cox, D. C. Robinson
Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406
Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
Christopher Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
Neural Computing and Applications | January 1993, Vol 1(1): pp. 4–16
Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks
Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593
Curvature-driven smoothing: a learning algorithm for feedforward networks
IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
Automatic analysis of JET charge exchange recombination spectra using neural networks
Christopher Bishop, C. M. Roach, M. G. von Hellermann
Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
Neural Computation | January 1992, Vol 4: pp. 494-501
Neural Network Approach to Energy Confinement Scaling in Tokamaks
Leslie Alan, Christopher Bishop
Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302
A Fast Procedure for Retraining the Multilayer Perceptron
International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236
Improving the Generalization Properties of Radial Basis Function Neural Networks
Neural Computation | January 1991, Vol 3(4): pp. 579-588
On the Difficulty of Determining Tearing Mode Stability
Christopher Bishop, J. W. Connor, R. J. Hastie, S. C. Cowley
Plasma Physics | January 1991, Vol 33: pp. 389-395
A Fast Procedure for Retraining the Multilayer Perceptron
C. M. Bishop, Christopher Bishop
International Journal of Neural Systems | January 1991, pp. 229-236
Ballooning Delta-prime in the Second Stable Region
Physics of Fluids | August 1990
Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations
Christopher Bishop, J. W. Connor
Plasma Physics | January 1990, Vol 32: pp. 203
Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks
S. Briguglio, Christopher Bishop, J. W. Connor, R. J. Hastie, F. Romanelli
Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449
An Intelligent Shell for the Toroidal Pinch
C. M. Bishop, Christopher Bishop
Plasma Physics | January 1989, Vol 31: pp. 1179
Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma
Christopher Bishop, R. Fitzpatrick, R. J. Hastie, J. C. Jackson
Plasma Physics | January 1989, Vol 31: pp. 431
Resistive Ballooning Modes and the Second Region of Stability
A. Sykes, Christopher Bishop, R. J. Hastie
Plasma Physics | January 1987, Vol 29: pp. 719
Bifurcated Temperature Profiles and the H-mode
Nuclear Fusion | January 1986, Vol 27: pp. 1765
Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B
Christopher Bishop, J. B. Taylor
Physics of Fluids | January 1986, Vol 29: pp. 1444
Stability of Localised MHD Modes in Divertor Tokamaks – a picture of the H-mode
Nuclear Fusion | January 1986, Vol 26: pp. 1063
Ideal MHD Ballooning Stability in the Vicinity of a Separatrix
Christopher Bishop, P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor
Nuclear Fusion | January 1984, Vol 24(12): pp. 1579
Topological Charge Distribution in SU(N) Gauge Theories
Christopher Bishop, P. V. D. Swift
Physics Letters | January 1983, Vol 129: pp. 198
Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
JAMA | November 2020
Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years
Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop, Clare Mills, Adnan Custovic
Journal of Allergy and Clinical Immunology | November 2015
The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together
Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop, Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson
Thorax | March 2015
Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
Bulletin of the American Meteorological Society | October 2014
Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, Adnan Custovic
PLOS Medicine | October 2014
Trajectories of Lung Function during Childhood
Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop, Lesley Lowe, Angela Simpson, Adnan Custovic
American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109
Artificial Life
Life | January 2014
Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts
N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop, John Winn, J.A. Curtin, S. Hasan Arshad, A. Simpson
Allergy | June 2013, Vol 68(6): pp. 764
Model-Based Machine Learning
Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 1–17
Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
Angela Simpson, Vincent Y. Tan, John Winn, Markus Svensén, Christopher Bishop, David Heckerman, Iain Buchan, Adnan Custovic
American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206
Generative or Discriminative? Getting the Best of Both Worlds
Christopher Bishop, Julia Lasserre
Bayesian Statistics | January 2007, Vol 8: pp. 3–23
Variational Message Passing
Journal of Machine Learning Research | January 2004, Vol 5
Accepted for publication
-
Probabilistic Modelling of Replica Divergence
Ant Rowstron, N. D. Lawrence, Christopher Bishop
HotOS 2001 | January 2001
Variational Bayesian Model Selection for Mixture Distributions
A. Corduneanu, Christopher Bishop
Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001
Optimising Synchronisation Times for Mobile Devices
Neil D. Lawrence, Ant Rowstron, Christopher Bishop, Mike Taylor
Advances in Neural Information Processing Systems | January 2001
Non-linear Bayesian image modelling
C. M. Bishop, J. M. Winn, Christopher Bishop, John Winn
Proceedings Sixth European Conference on Computer Vision | January 2000
Proceedings Sixth European Conference on Computer Vision
Winner of ECCV 2000 Best Paper Prize
Variational Relevance Vector Machines
Christopher Bishop, Michael E Tipping
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Neural network training using multi-channel data with aggregate labelling
N. McGrogan, Christopher Bishop, L. Tarassenko
Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
Variational Principal Components
Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
Latent Variable Models
Learning in Graphical Models | January 1999
Bayesian PCA
Advances in Neural Information Processing Systems | January 1999
Variational Learning in Graphical Models and Neural Networks
Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998
Ensemble learning in Bayesian neural networks
D. Barber, Christopher Bishop
Generalization in Neural Networks and Machine Learning | January 1998
Generalization in Neural Networks and Machine Learning
Mixture representations for inference and learning in Boltzmann machines
N. Lawrence, Christopher Bishop, M. Jordan
Uncertainty in Artificial Intelligence | January 1998
Uncertainty in Artificial Intelligence
Ensemble learning for multi-layer networks
D. Barber, Christopher Bishop
Advances in Neural Information Processing Systems | January 1998
Approximating posterior distributions in belief networks using mixtures
Christopher Bishop, N. Lawrence, T. Jaakkola, M. I. Jordan
Advances in Neural Information Processing Systems | January 1998
Advances in Neural Information Processing Systems
GTM: a principled alternative to the Self-Organizing Map
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
International Conference on Artificial Neural Networks, ICANN'96 | January 1997
Latent Variables, Topographic Mappings and Data Visualization
Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997
Magnification factors for the GTM algorithm
Christopher Bishop, Markus Svensén, Christopher K. I. Williams
Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
GTM through time
Christopher Bishop, Geoffrey E. Hinton, Iain G. D. Strachan
Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
Bayesian Model Comparison by Monte Carlo Chaining
David Barber, Christopher Bishop
Advances in Neural Information Processing Systems | January 1997
Bayesian Inference of Noise Levels in Regression
Christopher Bishop, C. S. Qazaz
Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997
Regression with Input-Dependent Noise: A Bayesian Treatment
Christopher Bishop, Cazhaow S. Qazaz
Advances in Neural Information Processing Systems | January 1997
EM optimization of latent variable density models
Christopher Bishop, Markus Svensén, C. K. I. Williams
Advances in Neural Information Processing Systems | January 1996
Modelling Conditional Probability Distributions for Periodic Variables
Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995
Estimating conditional probability densities for periodic variables
Christopher Bishop, C. Legleye
Advances in Neural Information Processing Systems | January 1995
Advances in Neural Information Processing Systems
Recent Progress in the Measurement and Analysis of ECE on JET
D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop
Proceedings of the 9th International Workshop on ECE and ECRH | January 1995
Proceedings of the 9th International Workshop on ECE and ECRH
Real-time Control of a Tokamak Plasma Using Neural Networks
Christopher Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Computation | January 1995
Regularization and Complexity Control in Feed-forward Networks
Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995
Proceedings International Conference on Artificial Neural Networks ICANN'95
On the relationship between Bayesian error bars and the input data density
C. K. I. Williams, C. Qazaz, Christopher Bishop, H. Zhu
Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995
Novelty Detection and Neural Network Validation
IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994
Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows
C. M. Bishop, Christopher Bishop
Proceedings IEE Conference on Artificial Neural Networks | May 1993
Novelty Detection and Neural Network Validation
Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993
Fast Curve Fitting Using Neural Networks
Review of Scientific Instruments | June 1992
Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D
Christopher Bishop, P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith
Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992
Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes
Christopher Bishop, R.J. Hastie
Nuclear Fusion | January 1985
Exposing variation in climate change risk assessment
Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
AGU Fall Meeting | December 2015
Accepted talk at 2015 Fall Meeting of American Geophysical Union
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
Bar Shalem, John Guiver, Christopher Bishop, Yoram Bachrach
September 2014
Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables
Nevena Lazic, Christopher Bishop, John Winn
Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013
Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition
Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop
Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012
ISBN: ISBN-13 978-88-207-5364-1
Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting
Markus Svensén, Qing Xu, David Stern, Steve Hanks, Christopher Bishop
In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011
A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma
Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011
ISBN: 978-84-694-5129-8
A New Framework for Machine Learning
In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008
Discriminative Writer Adaptation
Martin Szummer, Christopher Bishop
10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006
Principled Hybrids of Generative and Discriminative Models
Julia A. Lasserre, Christopher Bishop, Tom Minka
IEEE Conference on Computer Vision and Pattern Recognition | June 2006
Generative versus Discriminative Methods for Object Recognition
Ilkay Ulusoy, Christopher Bishop
In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Ilkay Ulusoy, Christopher Bishop
Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005
Object Recognition via Local Patch Labelling
Christopher Bishop, Ilkay Ulusoy
Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005
Robust Bayesian Mixture Modelling
Markus Svensén, Christopher Bishop
Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
Generative Models and Bayesian Model Comparison for Shape Recognition
Balaji Krishnapuram, Christopher Bishop, Martin Szummer
9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004
Distinguishing text from graphics in on-line handwritten ink
Christopher Bishop, Markus Svensén, Geoffrey E. Hinton
Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004
accepted for publication
Super-resolution Enhancement of Video
Christopher Bishop, Andrew Blake, Bhaskara Marthi
Proceedings Artificial Intelligence and Statistics | January 2003
ISBN 0-9727358-0-1
Structured Variational Distributions in VIBES
Proceedings Artificial Intelligence and Statistics | January 2003
ISBN 0-9727358-0-1
Bayesian Hierarchical Mixtures of Experts
Christopher Bishop, Markus Svensén
Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003
VIBES: A variational inference engine for Bayesian networks
C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop, John Winn
Advances in Neural Information Processing Systems | January 2002
Bayesian Image Super-resolution
Michael E. Tipping, Christopher Bishop
Advances in Neural Information Processing Systems | January 2002
Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch
Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002
Proceedings Seventh Valencia International Meeting on Bayesian Statistics
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Neural Networks
Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition
Neural Networks
M. I. Jordan, Christopher Bishop
Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition
An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression
Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition
ISBN: 978-1-4615-6099-9
Modelling Conditional Probability Densities for Periodic Variables
Christopher Bishop, Ian T. Nabney
Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition
Neural Networks
M. I. Jordan, Christopher Bishop
ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
Neural Networks: A Pattern Recognition Perspective
Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
Multiphase Flow Monitoring in Oil Pipelines
Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition
Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition
Curvature-driven Smoothing in Back-propagation Neural Networks
Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition
A Neural Network Approach to Tokamak Equilibrium Control
Christopher Bishop, Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition
Curvature-driven Smoothing in Back-propagation Neural Networks
Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition
A Unified Modeling Approach to Data-Intensive Healthcare
Iain Buchan, John Winn, Christopher Bishop
The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
Clumps, Clusters and Classification
Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition
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Pattern Recognition and Feedforward Neural Networks
January 1999, pp. 629-631
The MIT Encyclopedia of the Cognitive Sciences
Bayesian Regression and Classification
Christopher Bishop, Michael E. Tipping
January 2003, Vol 190: pp. 267-285
Advances in Learning Theory: Methods, Models and Applications
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Regression with Input-Dependent Noise: A Gaussian Process Treatment
Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop
NCRG/98/002 | January 1998
Advances in Neural Information Processing Systems
Bayesian methods for neural networks
NCRG/95/009 | January 1995
USENIX ICAC
Mixture Density Networks
NCRG/94/004 | January 1994
Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks
| January 1986
Principles of Programming Languages (POPL '08)
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GTM: The Generative Topographic Mapping
Christopher Bishop, Markus Svensén, Christopher K.I. Williams
January 1998, Vol 10: pp. 215-234
January 1998
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Markovian Inference in Belief Networks
B. J. Frey, N. Lawrence, Christopher Bishop
January 1998
Presented at the Learning Workshop, Snowbird