417 search results - page 2 / 84 » Bayesian inference in estimation of distribution algorithms |
ICONIP
2007
13 years 6 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
12 In this paper we study the problem of shape analysis and its application in locating facial feature points on frontal faces. We propose a Bayesian inference solution based on ta...
KDD
2004
ACM
13 years 10 months ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
NIPS
2000
13 years 6 months ago
2000
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...