Summary
International Symposium on Nonlinear Theory and its Applications
2005
Session Number:3-1-5
Session:
Number:3-1-5-3
On Variational Bayes Algorithms for Exponential Family Mixtures
Kazuho Watanabe, Sumio Watanabe,
pp.393-396
Publication Date:2005/10/18
Online ISSN:2188-5079
Summary:
In this paper, we empirically analyze the behaviors of the Variational Bayes algorithm for the mixture model. While the Variational Bayesian learning has provided computational tractability and good generalization performance in many applications, little has been done to investigate its properties. Recently, the stochastic complexity of mixture models in the Variational Bayesian learning was clarified. By comparing the experimental results with the theoretical ones, we discuss the properties of the practical Variational Bayes algorithm.