Latent dirichlet bayesian co-clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5782 LNAI, Issue PART 2, 2009, Pages 522-537

  Wang, Pu ^a   Domeniconi, Carlotta ^a   Laskey, Kathryn Blackmond ^b  

^a Department of Computer Science ^*

^b George Mason University   (United States)

Author keywords

Co Clustering; Dirichlet Distribution; Graph Learning

Indexed keywords

BAYESIAN; CO-CLUSTERING; COLUMN CLUSTERS; DATA MATRICES; DIRICHLET; DIRICHLET DISTRIBUTION; EMPIRICAL EVALUATIONS; GIBBS SAMPLING; GRAPH LEARNING; LIKELIHOOD ESTIMATE; REAL DATA SETS; VARIATIONAL BAYESIAN; VARIATIONAL INFERENCE;

BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; EDUCATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; ROBOT LEARNING;

COBALT COMPOUNDS;

EID: 70349939644     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04174-7_34     Document Type: Conference Paper

References (10)

1. Shan, H., Banerjee, A.: Bayesian co-clustering. In: IEEE International Conference on Data Mining (2008)
2. Hartigan, J.A.: Direct Clustering of a Data Matrix. Journal of the American Statistical Association 337, 123-129 (1972)
3. Dhillon, I.S., Mallela, S., Modha, D.S.: Information-Theoretic Co-Clustering. In: ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 89-98 (2003)
4. Sha.ei, M.M., Milios, E.E.: Latent Dirichlet Co-Clustering. In: International Conference on Data Mining, pp. 542-551 (2006)
5. Blei, D., Ng, A., Jordan, M.: Latent Dirichlet Allocation. Journal of Machine Learning Research 3, 993-1022 (2003)
6. Beal, M.J.: Variational Algorithms for Approximate Bayesian Inference. PhD thesis, Gatsby Computational Neuroscience Unit, University College London (2003)
7. Teh, Y.W., Newman, D., Welling, M.: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. In: Advances in Neural Information Processing Systems, vol.19 (2007)
8. Neal, R.M.: Probabilistic Inference Using Markov Chain Monte Carlo Methods, Technical Report CRG-TR-93-101, Dept. of Computer Science, University of Toronto (1993)
9. Grifiths, T.L., Steyvers, M.: Finding Scientific Topics. National Academy of Science 101, 5228-5235 (2004)
10. Teh, Y.W., Kurihara, K., Welling, M.: Collapsed Variational Inference for HDP. In: Advances in Neural Information Processing Systems, vol.20 (2008)