Learning latent variable models with Bregman divergences

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2003, Pages 220-

  Wang, Shaojun ^a   Schuurmans, Dale ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BREGMAN DIVERGENCES; UNSUPERVISED STATISTICAL LEARNING ALGORITHMS;

CONVERGENCE OF NUMERICAL METHODS; LEARNING SYSTEMS; MATRIX ALGEBRA; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

LEARNING ALGORITHMS;

EID: 0141938946     PISSN: 21578096     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (1)

1. S. Wang, D. Schuurmans and Y. Zhao, "The latent maximum entropy principle," submitted to IEEE Trans. on Information theory, 2002