This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:0262023938.

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Detalles bibliogr�ficos

T�tulo

Inductive Logic Programming: From Machine Learning to Software Engineering

Editor

MIT Press

Fecha de publicaci�n

1996

Idioma

Ingl�s

ISBN 10

0262023938

ISBN 13

9780262023931

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Good

Cat�logos de vendedores

Engineering

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Sinopsis

Although Inductive Logic Programming (ILP) is generally thought of as a research areaat the intersection of machine learning and computational logic, Bergadano and Gunetti propose thatmost of the research in ILP has in fact come from machine learning, particularly in the evolution ofinductive reasoning from pattern recognition, through initial approaches to symbolic machinelearning, to recent techniques for learning relational concepts. In this book they provide anextended, up-to-date survey of ILP, emphasizing methods and systems suitable for softwareengineering applications, including inductive program development, testing, andmaintenance.Inductive Logic Programming includes a definition of the basic ILP problem and itsvariations (incremental, with queries, for multiple predicates and predicate inventioncapabilities), a description of bottom-up operators and techniques (such as least generalgeneralization, inverse resolution, and inverse implication), an analysis of top-down methods(mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductivebias.Logic Programming series

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Francesco Bergadano is Professor in the Department of Computer Science at the University of Turin.

Daniele Gunetti is Professor in the Department of Computer Science at the University of Turin.

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