34 search results - page 2 / 7 » Document clustering via dirichlet process mixture model with... |
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
SIGIR
2002
ACM
13 years 5 months ago
2002
ACM
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
NIPS
2004
13 years 6 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...