30 search results - page 1 / 6 » Latent Dirichlet Bayesian Co-Clustering |
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
SAC
2009
ACM
13 years 11 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
LWA
2004
13 years 6 months ago
2004
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
NIPS
2001
13 years 6 months ago
2001
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...