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What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?

Type: Journal Paper

Author : Bao-Gang Hu

Year: 2014

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Information Theory and Its Relation to Machine Learning

Type: Journal Paper

Author : Bao-Gang Hu

Year: 2015

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A New Strategy of Cost-Free Learning in the Class Imbalance Problem

Type: Journal Paper

Author : Xiaowan Zhang; Bao-Gang Hu

Publisher: IEEE

Year: 2014

Parameter Identifiability in Statistical Machine Learning: A Review

Type: Journal Paper

Author : Zhi-Yong Ran; Bao-Gang Hu

Year: 2017

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A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos

Type: Journal Paper

Author : Baoyuan Wu; Bao-Gang Hu; Qiang Ji

Year: 2017

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Mutual information based on Renyi's entropy feature selection

Type: Conference Paper

Author : Can-Tao Liu; Bao-Gang Hu

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Discriminative Feature Selection by Nonparametric Bayes Error Minimization

Type: Journal Paper

Author : Shuang Hong Yang; Bao-Gang Hu

Year: 2012

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An identifying function approach for determining structural identifiability of parameter learning machines

Type: Conference Paper

Author : Zhi-Yong Ran , Bao-Gang Hu

Publisher: IEEE

Year: 2014

Robust feature extraction via information theoretic learning

Type: Journal Paper

Author : Xiao-Tong Yuan; Bao-Gang Hu

Year: 2009

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Agglomerative Mean-Shift Clustering

Type: Journal Paper

Author : Xiao-Tong Yuan; Bao-Gang Hu; Ran He

Year: 2012

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What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?

Information Theory and Its Relation to Machine Learning

A New Strategy of Cost-Free Learning in the Class Imbalance Problem

Parameter Identifiability in Statistical Machine Learning: A Review

A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos

Mutual information based on Renyi's entropy feature selection

Discriminative Feature Selection by Nonparametric Bayes Error Minimization

An identifying function approach for determining structural identifiability of parameter learning machines

Robust feature extraction via information theoretic learning

Agglomerative Mean-Shift Clustering

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What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?

Information Theory and Its Relation to Machine Learning

A New Strategy of Cost-Free Learning in the Class Imbalance Problem

Parameter Identifiability in Statistical Machine Learning: A Review

A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos

Mutual information based on Renyi's entropy feature selection

Discriminative Feature Selection by Nonparametric Bayes Error Minimization

An identifying function approach for determining structural identifiability of parameter learning machines

Robust feature extraction via information theoretic learning

Agglomerative Mean-Shift Clustering