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JAIR
2011
129views more  JAIR 2011»
13 years 4 days ago
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
Wei Li 0002, Pascal Poupart, Peter van Beek
IJCNN
2007
IEEE
13 years 11 months ago
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
Timo Honkela
IJISTA
2006
113views more  IJISTA 2006»
13 years 5 months ago
Extraction of mid-level semantics from gesture videos using a Bayesian network
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...
Dimitrios I. Kosmopoulos, Ilias Maglogiannis
UAI
1997
13 years 6 months ago
Object-Oriented Bayesian Networks
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...
Daphne Koller, Avi Pfeffer
ML
2008
ACM
100views Machine Learning» more  ML 2008»
13 years 5 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...