494 search results - page 50 / 99 » Probabilistic Programming in Anglican |
135
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
171
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AIPS
2007
15 years 8 months ago
2007
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
180
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FLAIRS
2008
15 years 8 months ago
2008
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
204
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UAI
1997
15 years 7 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
211
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ESOP
2011
Springer
14 years 9 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...