1423 search results - page 264 / 285 » Object-Oriented Bayesian Networks |
104
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UAI
2003
15 years 1 months ago
2003
This paper introduces improved methodology to triangulate dynamic graphical models and dynamic Bayesian networks (DBNs). In this approach, a standard DBN template can be modified...
124
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UAI
2003
15 years 1 months ago
2003
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
120
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NIPS
1998
15 years 1 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
UAI
1998
15 years 1 months ago
1998
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
91
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UAI
2000
15 years 1 months ago
2000
The securities market is the fundamental theoretical framework in economics and finance for resource allocation under uncertainty. Securities serve both to reallocate risk and to ...