1102 search results - page 122 / 221 » Bayesian Network Trust Model in Peer-to-Peer Networks |
JCB
2002
13 years 8 months ago
2002
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
JMLR
2010
13 years 3 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
WWW
2004
ACM
14 years 9 months ago
2004
ACM
We present a method for representing and reasoning with uncertainty in RDF(S) and OWL ontologies based on Bayesian networks. Categories and Subject Descriptors: I.2.4 Artificial I...
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
CLADE
2008
IEEE
14 years 3 months ago
2008
IEEE
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...