589 search results - page 73 / 118 » Modeling affordances using Bayesian networks |
115
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JMLR
2010
14 years 6 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...
RECOMB
2003
Springer
16 years 5 days ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
102
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UAI
2003
15 years 1 months ago
2003
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or setvalued). This is a fundamental pro...
JAIR
2008
14 years 12 months ago
2008
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
108
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...