Generalized model selection for unsupervised learning in high dimensions

Advances in Neural Information Processing Systems

Volumn , Issue , 2000, Pages 970-976

  Vaithyanathan, Shivakumar ^a   Dom, Byron ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; UNSUPERVISED LEARNING;

BAYESIAN APPROACHES; CLOSED FORM SOLUTIONS; CROSS-VALIDATED LIKELIHOOD; GENERALIZED MODELS; LIKELIHOOD FUNCTIONS; MARGINAL LIKELIHOOD; NUMBER OF CLUSTERS; OBJECTIVE FUNCTIONS;

EXPERIMENTS;

EID: 4344610280     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Baker, D.,etal, Distributional Clustering of Words for Text Classification, SIGIR 1998.
2. Bernardo, J. M. and Smith, A. F. M., Bayesian Theory, Wiley, 1994.
3. Church, K.W. et al., Poisson Mixtures, Natural Language Engineering, 1(12), 1995.
4. Cover, T.M. and Thomas, J.A. Elements of Information Theory. Wiley-Interscience, 1991.
5. Deerwester.S. et al., Indexing by Latent Semantic Analysis,JASIS, 1990.
6. Dempster, A.et al., Maximum Likelihood from Incomplete Data Via the EM Algorithm, JRSS, 39,1977.
7. Hanson,R., et al., Bayesian Classification with Correlation and Inheritance, IJCAI,1991.
8. Iyengar, G., Clustering images using relative entropy for efficient retrieval, VLBV, 1998.
9. Katz, S.M., Distribution of content words and phrases in text and language modeling, NLE, 2, 1996.
10. Kontkanen, P.T. et al., Comparing Bayesian Model Class Selection Criteria by Discrete Finite Mixtures, ISIS'96 Conference, 1996.
11. Meila, M., Heckerman, D., An Experimental Comparison of Several Clustering and Initialization Methods, MSR-TR-98-06.
12. Nigam, K et al., Learning to Classify Text from Labeled and Unlabeled Documents, AAAI, 1998.
13. Pereira, F.C.N, et al., Distributional clustering of English words, ACL,1993.
14. Rissanen, J., Stochastic Complexity in Statistical Inquiry. World\ Scientific, 1989.
15. Rissanen, J., Ristad E., Unsupervised classification with stochastic complexity." The US/Japan Conference on the Frontiers of Statistical Modeling, 1992.
16. Singhal A. et al., Pivoted Document Length Normalization, SIGIR, 1996.
17. Smyth, P., Clustering using Monte Carlo cross-validation, KDD, 1996.
18. Vaithyanathan, S. and Dom, B. Model Selection in Unsupervised Learning with Applications to Document Clustering. IBM Research Report RJ-10137 (95012) Dec. 14, 1998.