48 search results - page 4 / 10 » Nonparametric Bayesian Clustering Ensembles |
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. The label switching problem, the unidentifiability of the permutation of clusters or more generally latent variables, makes interpretation of results computed with MCMC ...
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
ACL
2010
13 years 2 months ago
2010
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering c...
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...
IJCAI
2007
13 years 6 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...