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ILP
2000
Springer
15 years 1 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
ICLP
2004
Springer
15 years 3 months ago
Termination of Logic Programs Using Various Dynamic Selection Rules
Abstract. We study termination of logic programs with dynamic scheduling, as it can be realised using delay declarations. Following previous work, our minimum assumption is that de...
Jan-Georg Smaus
ICLP
2010
Springer
15 years 1 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
SUM
2010
Springer
14 years 8 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...
SAINT
2005
IEEE
15 years 3 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...