379 search results - page 7 / 76 » Probabilistic (logic) programming concepts |
LPNMR
2005
Springer
15 years 3 months ago
2005
Springer
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. In this paper, we present a revision strategy of revising a conditional probabilistic logic program (PLP) when new information is received (which is in the form of probab...
ICLP
2010
Springer
15 years 1 months ago
2010
Springer
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 ...
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SUM
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
UAI
2003
14 years 11 months ago
2003
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...