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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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2010
2010
In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, in these… 
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… 
2007
2007
A new framework for the Induction of Functional Logic Programs (IFLP) from facts is presented. This can be seen as an extension… 
2007
2007
. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning… 
2005
2005
Inductive logic programming (ILP) is a generic tool aiming at learning rules from relational databases. Introducing fuzzy sets… 
2004
2004
In this paper, we show that the basic pointcut languages offered by current aspect-oriented programming languages impact… 
2002
2002
Inductive logic programming has attracted great interest within the machine learning, artificial intelligence, data mining and… 
Review
2000
Review
2000
Inductive Logic Programming (ILP) is a study of machine learning systems that use clausal theories in first-order logic as a… 
1997
1997
Obtaining accurate structural alerts for the causes of chemical cancers is a problem of great scientific and humanitarian value… 
1997
1997
This chapter examines the applicability and performance of Inductive Logic Programming (ILP) in learning classification rules for…