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Modern Machine Learning: Partition & Vote

Carey E. PriebeiD, Joshua T VogelsteiniD, Florian EngertiD, Christopher M. White

Abstract

We present modern machine learning, focusing on the state-of-the-art classification methods of decision forests and deep networks, 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 potentially with brain functioning.

PDFDOI

02 /Specification & Classification

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