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20132019
most citedA Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines

1 citations · 2 across the 3 of their papers we have counts for

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cs.NE2013★ 1 cited

Understanding Boltzmann Machine and Deep Learning via A Confident Information First Principle

Xiaozhao Zhao, Yuexian Hou, Qian Yu +2

Typical dimensionality reduction methods focus on directly reducing the number of random variables while retaining maximal variations in the data. In this paper, we consider the di…