465 search results - page 62 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
ICASSP
2011
IEEE
13 years 11 days ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
NIPS
2008
13 years 10 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
ALT
2003
Springer
14 years 5 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
IUI
2006
ACM
14 years 2 months ago
2006
ACM
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...