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Inductive Principles for Restricted Boltzmann Machine Learning
AISTATS, (2010): 509-516
EI
Abstract
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associ- ated with maximum likelihood learning in models with intractable partition functions. In this paper, we study learning methods for binary restricted Boltzmann machines (RBMs) based on ratio matching and gen- eraliz...More
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