Statistical models for partial membership

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 392-399

  Heller, Katherine A ^a   Williamson, Sinead ^a   Ghahramani, Zoubin ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURES; STATISTICS; BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; LEARNING SYSTEMS; ROBOT LEARNING;

BAYESIAN FRAMEWORKS; EXPONENTIAL FAMILY; EXPONENTIAL FAMILY DISTRIBUTIONS; HYBRID MONTE CARLO; LATENT DIRICHLET ALLOCATION; MEMBERSHIP MODELS; MIXTURE COMPONENTS; PARTIAL MEMBERSHIPS;

MACHINE LEARNING; FUZZY CLUSTERING;

BAYESIAN; BAYESIAN FRAMEWORKS; DATA POINTS; EXPONENTIAL FAMILY DISTRIBUTIONS; HYBRID MONTE CARLO; LATENT DIRICHLET ALLOCATIONS; MEMBERSHIP MODELS; MICROARRAY DATUM; MIXTURE COMPONENTS; MIXTURE MODELS; MULTIPLE CLUSTERS; NON-PARAMETRIC; PARTIAL MEMBERSHIPS; STATISTICAL MODELS;

EID: 56449104478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390206     Document Type: Conference Paper

References (15)

1. Bezdek, J. (1981). Pattern recognition with fuzzy objective function algorithms. Kluwer.
2. Blei, D., Ng, A., & Jordan, M. (2003). Latent dirichlet allocation. JMLR.
3. Buntine, W., & Jakulin, A. (2006). LNCS, vol. 3940, chapter Discrete Component Analysis. Springer.
4. Collins, M., Dasgupta, S., & Schapire, R. (2002). A generalization of principal components analysis to the exponential family. NIPS.
5. Eroslieva, E., Fienberg, S., & Lafferty, J. (2004). Mixed membership models of scientific publications. PNAS.
6. Gasch, A., & Eisen, M. (2002). Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering. Genome Biol., 3.
7. Griffiths, T., & Ghahramani, Z. (2005). Infinite latent feature models and the indian buffet process (Technical Report). Gatsby Computational Neuroscience Unit.
8. Heller, K., & Ghahramani, Z. (2007). A nonparametric bayesian approach to modeling overlapping clusters. AISTATS.
9. Hinton, G. (1999). Products of experts. ICANN.
10. Jakulin, A. (2004). http://www.ailab.si/aleks/politics/.
11. Kosko, B. (1992). Neural networks and fuzzy systems. Prentice Hall.
12. MacKay, D. (2003). Information theory, inference, and learning algorithms. Cambridge University Press.
13. Neal, R. (1993). Probabilistic inference using markov chain monte carlo methods (Technical Report). University of Toronto.
14. Teh, Y., Jordan, M., Beal, M., & Blei, D. (2006). Hierarchical dirichlet processes. JASA, 101.
15. Zadeh, L. (1965). Fuzzy sets. Info. and Control, 8.