16 search results - page 1 / 4 » Variational approximations in Bayesian model selection for f... |
93
Voted
CSDA
2007
14 years 10 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
103
Voted
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
115
Voted
JMLR
2012
13 years 19 days ago
2012
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
102
Voted
UAI
2003
14 years 11 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
84
Voted
NN
2002
Springer
14 years 9 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...