@inproceedings{blum1999beating,
author = {Blum, Avrim and Kalai, Adam Tauman and Langford, John},
title = {Beating the Holdout: Bounds for K-Fold and Progressive Cross-Validation},
booktitle = {COLT '99 Proceedings of the twelfth annual conference on Computational learning theory},
year = {1999},
month = {July},
abstract = {K-Fold cross-validation is a popular technique in machine learning for estimating the performance of a learned hypothesis on a data set. We provide the first theoretical justification for this method that shows that it is, on average, more accurate than a held-out test set of comparable size.},
publisher = {ACM Press},
url = {http://approjects.co.za/?big=en-us/research/publication/beating-holdout-bounds-k-fold-progressive-cross-validation/},
pages = {203-208},
isbn = {1-58113-167-4},
edition = {COLT '99 Proceedings of the twelfth annual conference on Computational learning theory},
}