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Advances in self-organizing maps : 7th international workshop : proceedings

Type: Ebook

Author : José C Principe; ; José C Principe

Publisher: Springer

Year: 2009

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Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)

Type: Ebook

Author : Jose C. Principe

Publisher: Springer

Year: 2010

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Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces

Type: Journal Paper

Author : José C. Principe

Year: 2010

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Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm

Type: Journal Paper

Author : Li, Kan, and Jose C. Principe.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Year: 2017

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Some Further Results on the Minimum Error Entropy Estimation

Type: Journal Paper

Author : Badong Chen; Jose C. Principe

Year: 2012

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Compressed signal reconstruction using the correntropy induced metric

Type: Conference Paper

Author : Sohan Seth; Jose C. Principe

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Correntropy as a novel measure for nonlinearity tests

Type: Journal Paper

Author : Aysegul Gunduz; Jose C. Principe

Publisher: Elsevier Science

Year: 2009

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Using Correntropy as a cost function in linear adaptive filters

Type: Conference Paper

Author : Abhishek Singh; Jose C. Principe

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Correntropy based Granger causality

Type: Conference Paper

Author : Il Park; Jose C. Principe

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Kernel width adaptation in information theoretic cost functions

Type: Conference Paper

Author : Abhishek Singh; Jose C. Principe

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Advances in self-organizing maps : 7th international workshop : proceedings

Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)

Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces

Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm

Some Further Results on the Minimum Error Entropy Estimation

Compressed signal reconstruction using the correntropy induced metric

Correntropy as a novel measure for nonlinearity tests

Using Correntropy as a cost function in linear adaptive filters

Correntropy based Granger causality

Kernel width adaptation in information theoretic cost functions

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