A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines.

Xiaozhao Zhao,Yuexian Hou,Dawei Song,Wenjie Li

IEEE Transactions on Neural Networks and Learning Systems（2018）

引用 6|浏览39

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摘要

Typical dimensionality reduction (DR) methods are data-oriented, focusing on directly reducing the number of random variables (or features) while retaining the maximal variations in the high-dimensional data. Targeting unsupervised situations, this paper aims to address the problem from a novel perspective and considers model-oriented DR in parameter spaces of binary multivariate distributions. Sp...

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关键词

Data models,Computational modeling,Manifolds,Complexity theory,Measurement,Estimation,Mathematical model

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