PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Induction as a Search
Stasinos Konstantopoulos, Rui Camacho, Nuno Fonseca and Vitor Santos Costa
In: Artificial Intelligence for Advanced Problem Solving Techniques (2008) IGI Publishing , Hershey, PA, USA , pp. 158-205. ISBN 1599047055

Abstract

This chapter introduces Inductive Logic Programming (ILP) from the perspective of search algorithms in Computer Science. It first briefly considers the Version Spaces approach to induction, and then focuses on Inductive Logic Programming: from its formal definition and main techniques and strategies, to priors used to restrict the search space and optimized sequential, parallel, and stochastic algorithms. The authors hope that this presentation of the theory and applications of Inductive Logic Programming will help the reader understand the theoretical underpinnings of ILP, and also provide a helpful overview of the State-of-the-Art in the domain.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:6941
Deposited By:Stasinos Konstantopoulos
Deposited On:11 June 2010