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» Probabilistic Inductive Logic Programming
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UAI
2003
13 years 6 months ago
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
Vítor Santos Costa, David Page, Maleeha Qaz...
ILP
2001
Springer
13 years 9 months ago
Induction of Stable Models
In the line of previous work by S. Muggleton and C. Sakama, we extend the logical characterization of inductive logic programming, to normal logic programs under the stable models ...
Ramón P. Otero
LFCS
2009
Springer
13 years 11 months ago
Decidability and Undecidability in Probability Logic
We study computational aspects of a probabilistic logic based on a well-known model of induction by Valiant. We prove that for this paraconsistent logic the set of valid formulas ...
Sebastiaan Terwijn
JSAI
2005
Springer
13 years 10 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
ASP
2001
Springer
13 years 8 months ago
Learning by Answer Sets
This paper presents a novel application of answer set programming to concept learning in nonmonotonic logic programs. Given an extended logic program as a background theory, we in...
Chiaki Sakama