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» Probabilistic Logic Programming
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LPNMR
2005
Springer
14 years 29 days ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar
SUM
2010
Springer
13 years 5 months ago
Cost-Based Query Answering in Action Probabilistic Logic Programs
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...
Gerardo I. Simari, John P. Dickerson, V. S. Subrah...
ICLP
2010
Springer
13 years 11 months ago
Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions
Probabilistic Logic Programming is an active field of research, with many proposals for languages, semantics and reasoning algorithms. One such proposal, Logic Programming with A...
Fabrizio Riguzzi, Terrance Swift
ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 7 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
ICLP
2009
Springer
14 years 8 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato