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ECSQARU
2007
Springer
14 years 1 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
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 7 months ago
Optimal Path Planning under Temporal Logic Constraints
Abstract-- In this paper we present a method for automatically generating optimal robot trajectories satisfying high level mission specifications. The motion of the robot in the en...
Stephen L. Smith, Jana Tumova, Calin Belta, Daniel...
ASPDAC
2009
ACM
152views Hardware» more  ASPDAC 2009»
14 years 1 months ago
A novel Toffoli network synthesis algorithm for reversible logic
—Reversible logic studies have promising potential on energy lossless circuit design, quantum computation, nanotechnology, etc. Reversible logic features a one-to-one input outpu...
Yexin Zheng, Chao Huang
ECAI
2008
Springer
13 years 9 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
ICML
2007
IEEE
14 years 8 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney