136 search results - page 1 / 28 » Structure Inference of Bayesian Networks from Data: A New Ap... |
FEGC
2008
13 years 8 months ago
2008
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
AI
2002
Springer
13 years 6 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
BMCBI
2010
13 years 7 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
BMCBI
2010
13 years 7 months ago
2010
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...