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Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)

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Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming) Cover

 

Synopses & Reviews

Publisher Comments:

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

Description:

Includes bibliographical references (p. [219]-235) and index.

Product Details

ISBN:
9780262023931
With:
Gunetti, Daniele
Author:
Gunetti, Daniele
Author:
Bergadano, Francesco
Publisher:
MIT Press (MA)
Location:
Cambridge, Mass. :
Subject:
Programming Languages - General
Subject:
Programming - Object Oriented Programming
Subject:
Logic Design
Subject:
Artificial Intelligence
Subject:
Logic programming
Subject:
Artificial Intelligence - General
Subject:
Intelligence (AI) & Semantics
Subject:
Software Engineering-Object Oriented Programming
Series:
Logic Programming Inductive Logic Programming
Series Volume:
no. 2
Publication Date:
19951231
Binding:
HARDCOVER
Grade Level:
from 17
Language:
English
Illustrations:
Yes
Pages:
135
Dimensions:
8.8 x 5.9 x 0.3 in

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Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Software Engineering » Object Oriented Programming
Computers and Internet » Software Engineering » Programming and Languages

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