160 search results - page 17 / 32 » Any-time probabilistic switching model using bayesian networ... |
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CONTEXT
2001
Springer
15 years 3 months ago
2001
Springer
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
126
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GLOBECOM
2010
IEEE
14 years 8 months ago
2010
IEEE
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
AI
2002
Springer
14 years 10 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...
80
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AUSAI
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Mobile devices get to handle much information thanks to the convergence of diverse functionalities. Their environment has great potential of supporting customized service...