494 search results - page 50 / 99 » Probabilistic Programming in Anglican |
69
Voted
ICDM
2005
IEEE
15 years 3 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...
89
Voted
AIPS
2007
15 years 16 days 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...
104
Voted
FLAIRS
2008
15 years 16 days 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...
125
Voted
UAI
1997
14 years 11 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...
120
Voted
ESOP
2011
Springer
14 years 1 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...