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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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2006
2006
Three-dimensional models, or pharmacophores, describing Euclidean constraints on the location on small molecules of functional… 
Highly Cited
2005
Highly Cited
2005
In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines… 
2002
2002
Machine discovery systems help humans to find natural laws from collections of experimentaUy collected data. Most of the laws… 
Review
2001
Review
2001
Learning is a crucial ability of intelligent agents. Rather than presenting a complete literature review, we focus in this paper… 
1998
1998
Inductive Logic Programming (ILP) [9, 11] is the area of AI which deals with the induction of hypothesised predica te definitions… 
1996
1996
The three-valued Fitting/Kunen semantics is one of the best declarative semantics for negation as failure in logic programming… 
1995
1995
Inductive Logic Programming (ILP) is often situated as a research area emerging at the intersection of Machine Learning and Logic… 
1993
1993
This paper traces the development of the main ideas that have led to the present state of knowledge in Inductive Logic… 
1991
1991
An attempt at unifying logic and functional programming is reported. As a starting point, we take the view that "logic programs…