Information-Theoretic Competitive Learning with Inverse Euclidean Distance Output Units

ISSN： 1370-4621

Source： Neural Processing Letters, Vol.18, Iss.3, 2003-12, pp. : 163-204

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Teacher-directed learning: information-theoretic competitive learning in supervised multi-layered networks

By Kamimura Ryotaro

Connection Science, Vol. 15, Iss. 2-3, 2003-06 ,pp. : 117-140

Taylor & Francis Ltd

Access to resources Recommend Favorite

Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms

By Ben-David A.

Machine Learning, Vol. 19, Iss. 1, 1995-04 ,pp. : 29-43

Springer Publishing Company

Access to resources Recommend Favorite

Information theoretic competitive learning in self-adaptive multi-layered networks

By Kamimura Ryotaro

Connection Science, Vol. 15, Iss. 1, 2003-03 ,pp. : 3-26

Taylor & Francis Ltd

Access to resources Recommend Favorite

Information-theoretic framework for unsupervised activity classification

By Kaplan Frédéric Hafner Verena V.

Advanced Robotics, Vol. 20, Iss. 10, 2006-10 ,pp. : 1087-1103

Taylor & Francis Ltd

Access to resources Recommend Favorite

Information-Theoretic Active Polygons for Unsupervised Texture Segmentation

By Unal Gozde Yezzi Anthony Krim Hamid

International Journal of Computer Vision, Vol. 62, Iss. 3, 2005-05 ,pp. : 199-220

Springer Publishing Company

Access to resources Recommend Favorite