Sciweavers

Share
ECML
2006
Springer

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures

9 years 10 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDMA) is introduced, which performs inference and learning efficiently using variational Bayesian methods and performs automatic model selection. The model is closely related to Dirichlet process mixture models and demonstrates similar automatic model selection in the variational Bayesian context.
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where ECML
Authors Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
Comments (0)
books