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» On probabilistic inference by weighted model counting
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105
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JAIR
2011
129views more  JAIR 2011»
14 years 5 months 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
55
Voted
AI
2008
Springer
14 years 11 months ago
On probabilistic inference by weighted model counting
Mark Chavira, Adnan Darwiche
JAIR
2007
79views more  JAIR 2007»
14 years 10 months ago
Probabilistic Planning via Heuristic Forward Search and Weighted Model Counting
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...
Carmel Domshlak, Jörg Hoffmann
AIPS
2006
15 years 9 days ago
Fast Probabilistic Planning through Weighted Model Counting
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...
Carmel Domshlak, Jörg Hoffmann
88
Voted
ECSQARU
2007
Springer
15 years 5 months ago
Logical Compilation of Bayesian Networks with Discrete Variables
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
Michael Wachter, Rolf Haenni