15 search results - page 2 / 3 » Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allo... |
PKDD
2009
Springer
13 years 12 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...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
NIPS
2007
13 years 6 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
SIGIR
2006
ACM
13 years 11 months ago
2006
ACM
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...