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ICLP
2010
Springer
15 years 1 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
WLP
2007
Springer
15 years 4 months ago
spock: A Debugging Support Tool for Logic Programs under the Answer-Set Semantics
Answer-set programming (ASP) is an emerging logic-programming paradigm that strictly separates the description of a problem from its solving methods. Despite its semantic elegance,...
Martin Gebser, Jörg Pührer, Torsten Scha...
DBPL
2005
Springer
143views Database» more  DBPL 2005»
15 years 3 months ago
Inconsistency Tolerance in P2P Data Integration: An Epistemic Logic Approach
We study peer-to-peer ðP2PÞ data integration, where each peer models an autonomous system that exports data in terms of its own schema, and data interoperation is achieved by me...
Diego Calvanese, Giuseppe De Giacomo, Domenico Lem...
ICALP
2005
Springer
15 years 3 months ago
Probabilistic Polynomial-Time Semantics for a Protocol Security Logic
Abstract. We describe a cryptographically sound formal logic for proving protocol security properties without explicitly reasoning about probability, asymptotic complexity, or the ...
Anupam Datta, Ante Derek, John C. Mitchell, Vitaly...
ICLP
2004
Springer
15 years 3 months ago
Possible Worlds Semantics for Probabilistic Logic Programs
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...
Alex Dekhtyar, Michael I. Dekhtyar