Modern Machine Learning: Partition & Vote
- Carey E. Priebe ,
- Joshua T. Vogelstein ,
- Florian Engert ,
- Chris White
We present modern machine learning, focusing on the state-of-the-art classification methods of deep networks and decision forests, as partition and vote schemes. This illustrative presentation allows for both a unified basic understanding of how these methods work from the perspective of classical statistical pattern recognition as well as useful basic insight into their relationship with each other … and with brain functioning.