Information Theoretic Learning - Information Science and Statistics
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Published By Springer New York

9781441915696, 9781441915702

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Clustering with ITL Principles

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_7 ◽

2010 ◽

pp. 263-298

Author(s):

Robert Jenssen ◽

Sudhir Rao

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A Reproducing Kernel Hilbert Space Framework for ITL

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_9 ◽

2010 ◽

pp. 351-384

Author(s):

Jianwu Xu ◽

Robert Jenssen ◽

Antonio Paiva ◽

Il Park

Keyword(s):

Hilbert Space ◽

Reproducing Kernel ◽

Reproducing Kernel Hilbert Space

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Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_1 ◽

2010 ◽

pp. 1-45 ◽

Cited By ~ 6

Author(s):

José C. Principe

Keyword(s):

Machine Learning ◽

Information Theory ◽

Hilbert Spaces ◽

Reproducing Kernel ◽

Reproducing Kernel Hilbert Spaces ◽

Kernel Hilbert Spaces

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Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_3 ◽

2010 ◽

pp. 103-140 ◽

Cited By ~ 2

Author(s):

Deniz Erdogmus ◽

Weifeng Liu

Keyword(s):

Information Filtering

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Correntropy for Random Processes: Properties and Applications in Signal Processing

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_11 ◽

2010 ◽

pp. 415-455

Author(s):

Puskal Pokharel ◽

Ignacio Santamaria ◽

Jianwu Xu ◽

Kyu-hwa Jeong ◽

Weifeng Liu

Keyword(s):

Signal Processing ◽

Random Processes

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Classification with EEC, Divergence Measures, and Error Bounds

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_6 ◽

2010 ◽

pp. 219-261 ◽

Cited By ~ 2

Author(s):

Deniz Erdogmus ◽

Dongxin Xu ◽

Kenneth Hild

Keyword(s):

Error Bounds ◽

Divergence Measures

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Correntropy for Random Variables: Properties and Applications in Statistical Inference

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_10 ◽

2010 ◽

pp. 385-413

Author(s):

Weifeng Liu ◽

Puskal Pokharel ◽

Jianwu Xu ◽

Sohan Seth

Keyword(s):

Statistical Inference ◽

Random Variables

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Self-Organizing ITL Principles for Unsupervised Learning

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_8 ◽

2010 ◽

pp. 299-349

Author(s):

Sudhir Rao ◽

Deniz Erdogmus ◽

Dongxin Xu ◽

Kenneth Hild

Keyword(s):

Unsupervised Learning ◽

Self Organizing

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Renyi’s Entropy, Divergence and Their Nonparametric Estimators

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_2 ◽

2010 ◽

pp. 47-102 ◽

Cited By ~ 22

Author(s):

Dongxin Xu ◽

Deniz Erdogmuns

Keyword(s):

Nonparametric Estimators ◽

Renyi’S Entropy

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Nonlinear Adaptive Filtering with MEE, MCC, and Applications

Information Theoretic Learning - Information Science and Statistics ◽

10.1007/978-1-4419-1570-2_5 ◽

2010 ◽

pp. 181-218

Author(s):

Deniz Erdogmus ◽

Rodney Morejon ◽

Weifeng Liu

Keyword(s):

Adaptive Filtering ◽

Nonlinear Adaptive Filtering

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Information Theoretic Learning - Information Science and StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Clustering with ITL Principles

A Reproducing Kernel Hilbert Space Framework for ITL

Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces

Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria

Correntropy for Random Processes: Properties and Applications in Signal Processing

Classification with EEC, Divergence Measures, and Error Bounds

Correntropy for Random Variables: Properties and Applications in Statistical Inference

Self-Organizing ITL Principles for Unsupervised Learning

Renyi’s Entropy, Divergence and Their Nonparametric Estimators

Nonlinear Adaptive Filtering with MEE, MCC, and Applications

Information Theoretic Learning - Information Science and Statistics
Latest Publications