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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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Related topics

Related topics

30 relations
Abductive logic programmingAction model learningArtificial intelligenceBayesian network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Engineering Trust Alignment: a First Approach
In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, in these… 
2008
2008
Inductive logic programming for gene regulation prediction
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
Inductive Functional Logic Programming
A new framework for the Induction of Functional Logic Programs (IFLP) from facts is presented. This can be seen as an extension… 
2005
2005
Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication
Inductive logic programming (ILP) is a generic tool aiming at learning rules from relational databases. Introducing fuzzy sets… 
2004
2004
Inductively Generated Pointcuts to Support Refactoring to Aspects
In this paper, we show that the basic pointcut languages offered by current aspect-oriented programming languages impact… 
Review
2000
Review
2000
Inductive Logic Programming: From Logic of Discovery to Machine Learning
Inductive Logic Programming (ILP) is a study of machine learning systems that use clausal theories in first-order logic as a… 
1997
1997
Carcinogenesis Predictions Using Inductive Logic Programming
Obtaining accurate structural alerts for the causes of chemical cancers is a problem of great scientific and humanitarian value… 
1997
1997
Introducing Abduction into (Extensional) Inductive Logic Programming Systems
We propose an approach for the integration of abduction and induction in Logic Programming. In particular, we show how it is… 
1997
1997
Using Inductive Logic Programming to Learn Rules that Identify Glaucomatous Eyes
This chapter examines the applicability and performance of Inductive Logic Programming (ILP) in learning classification rules for… 
1993
1993
Inductive Inference of Prolog Programs with Linear Data Dependency from Positive Data
In this paper, we study inductive inference of a subclass of Prolog programs from positive examples. The subclass, called… 
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