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» On the Expressibility of Stable Logic Programming
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AIIA
1995
Springer
13 years 11 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
DEXAW
2003
IEEE
113views Database» more  DEXAW 2003»
14 years 1 months ago
Integrating Ontology Languages and Answer Set Programming
We integrate ontology languages and logic programming (LP) by extending disjunctive logic programs (DLPs) and their semantics in order to support inverses and an infinite univers...
Stijn Heymans, Dirk Vermeir
JMLR
2008
127views more  JMLR 2008»
13 years 8 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
ENTCS
2002
92views more  ENTCS 2002»
13 years 8 months ago
Improving the Efficiency of Non-Deterministic Computations
Non-deterministic computations greatly enhance the expressive power of functional logic programs, but are often computationally expensive. We analyze a programming technique that ...
Sergio Antoy, Pascual Julián Iranzo, Bart M...
ML
2006
ACM
143views Machine Learning» more  ML 2006»
13 years 8 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton