115 search results - page 2 / 23 » On Axiomatizing Probabilistic Conditional Independencies in ... |
AI
2002
Springer
13 years 5 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...
IJAR
2008
13 years 5 months ago
2008
This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider g...
BMCBI
2010
13 years 5 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
2007
13 years 5 months ago
2007
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...