Inductive Logic Programming (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
135
Utgivningsdatum
1995-12-01
Förlag
MIT Press
Medarbetare
Gunetti, Daniele
Illustrationer
bibliography, index
Dimensioner
235 x 185 x 20 mm
Vikt
610 g
Antal komponenter
1
Komponenter
vii, 240 p. :
ISSN
1061-0464
ISBN
9780262023931
Inductive Logic Programming (inbunden)

Inductive Logic Programming

From Machine Learning to Software Engineering

Inbunden Engelska, 1995-12-01

Slutsåld

Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance. Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, 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 inductive bias. Logic Programming series
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"This is a very fine essay on naturalistic epistemology. Kornblith's work will be a distinctive contribution at the interface of philosophy and cognitive science." Alvin I. Goldman, University of Arizona

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Övrig information

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.

Innehållsförteckning

Part 1 Fundamentals: problem statement and definitions; bottom-up methods; top-down methods; a unifying framework. Part 2 ILP with strong bias: inductive bias; programme induction with queries; programme induction without queries. Part 3 Software engineering applications: development, maintenance and reuse; testing; a case study; a how to FTP our software.