13180 search results - page 33 / 2636 » Network Models |
SUM
2009
Springer
14 years 2 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
SUTC
2010
IEEE
13 years 6 months ago
2010
IEEE
—As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimiz...
AP2PC
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. In this paper, we propose a Bayesian network-based trust model in peerto-peer networks. Since trust is multi-faceted, even in the same context, peers still need to develo...
NN
2011
Springer
12 years 11 months ago
2011
Springer
Neurodynamical models of working memory (WM) should provide mechanisms for storing, maintaining, retrieving, and deleting information. Many models address only a subset of these a...
IJAR
2008
13 years 8 months ago
2008
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...