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» Probabilistic (logic) programming concepts
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ICDAR
2009
IEEE
14 years 4 months ago
Inductive Logic Programming for Symbol Recognition
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
K. C. Santosh, Bart Lamiroy, Jean-Philippe Ropers
FUIN
2010
130views more  FUIN 2010»
13 years 8 months ago
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of the well...
Fabrizio Riguzzi
FLAIRS
2007
14 years 7 days ago
Prioritized Reasoning in Logic Programming
This work addresses the issue of prioritized reasoning in the context of logic programming. The case of preference conditions involving atoms is considered and a refinement of th...
Luciano Caroprese, Irina Trubitsyna, Ester Zumpano
LPNMR
2004
Springer
14 years 3 months ago
Set Constraints in Logic Programming
We investigate a generalization of weight-constraint programs with stable semantics, as implemented in the ASP solver smodels. Our programs admit atoms of the form X, F where X is ...
V. Wiktor Marek, Jeffrey B. Remmel
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 1 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato