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Inductive logic programming

Known as: ILP 
Inductive logic programming (ILP) is a subfield of machine learning which uses logic programming as a uniform representation for examples, background… 
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Papers overview

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2009
2009
Static analysis can be used to determine safe estimates of Worst Case Execution Time. However, overestimation of the number of… 
2008
2008
Abstract We present a systems biology application of ILP, where the goal is to predict the regulation of a gene under a certain… 
2006
2006
Three-dimensional models, or pharmacophores, describing Euclidean constraints on the location on small molecules of functional… 
2004
2004
The subject of this paper is the transformation from pre-AOP legacy software to aspect-oriented software. To factor out… 
2002
2002
Dynamic composition of services from components at runtime can help to provide flexible service infrastructures, but requires… 
Review
2001
Review
2001
Learning is a crucial ability of intelligent agents. Rather than presenting a complete literature review, we focus in this paper… 
1999
1999
Inductive Logic Programming (ILP) is a relatively new method in machine learning. Compared with the traditional attribute-value… 
1997
1997
The bounded ILP-consistency problem for function-free Horn clauses is described as follows. Given at setE+ andE− of function-free…