Handling missing data with variational Bayesian learning of ICA

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

  Chan, Kwokleung ^a   Lee, Te Won ^a   Sejnowski, Terrence ^a  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; HIGHER ORDER STATISTICS; INDEPENDENT COMPONENT ANALYSIS; SPEECH ENHANCEMENT;

ESTIMATION TECHNIQUES; HIGH DIMENSIONAL DATA; HIGH DIMENSIONAL SPACES; INDEPENDENT COMPONENT ANALYSIS(ICA); KURTOSIS AND SKEWNESS; PROBABILITY ESTIMATION; VARIATIONAL BAYESIAN LEARNING; VARIATIONAL BAYESIAN METHODS;

DATA MINING;

EID: 33746324372     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Kwokleung Chan, Te-Won Lee, and Terrence J. Sejnowski. Variational learning of clusters of undercomplete nonsymmetric independent components. Journal of Machine Learning Research, 3: 99-114, 2002.
2. Rizwan A. Choudrey and Stephen J. Roberts. Flexible Bayesian independent component analysis for blind source separation. In 3rd International Conference on Independent Component Analysis and Blind Signal Separation, pages 90-95, San Diego, Dec. 09-12 2001.
3. Z. Ghahramani and M. Jordan. Learning from incomplete data. Technical Report CBCL Paper No. 108, Center for Biological and Computational Learning, Massachusetts Institute of Technology, 1994.
4. Aapo Hyvarinen, Juha Karhunen, and Erkki Oja. Independent Component Analysis. J. Wiley, New York, 2001.
5. R. J. A. Little and D. B. Rubin. Statistical Analysis with Missing Data. Wiley, New York, 1987.
6. Max Welling and Markus Weber. Independent component analysis of incomplete data. In 1999 6th Joint Symposium on Neural Compuatation Proceedings, Volume 9, pages 162-168. UCSD, May. 22 1999.