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Logical and relational learning

Author: Luc de Raedt
Publisher: Berlin : Springer, ©2008.
Series: Cognitive technologies.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis of complex and structured data sets that arise in numerous applications, such as bio- and chemoinformatics, network  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Raedt, Luc de, 1964-
Logical and relational learning.
Berlin : Springer, ©2008
(OCoLC)226976498
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Luc de Raedt
ISBN: 9783540688563 3540688560 3540200401 9783540200406
OCLC Number: 288474534
Description: 1 online resource (xv, 387 pages) : illustrations.
Contents: An Introduction to Logic --
An Introduction to Learning and Search --
Representations for Mining and Learning --
Generality and Logical Entailment --
The Upgrading Story --
Inducing Theories --
Probabilistic Logic Learning --
Kernels and Distances for Structured Data --
Computational Aspects of Logical and Relational Learning --
Lessons Learned.
Series Title: Cognitive technologies.
Responsibility: Luc De Raedt.

Abstract:

The first textbook ever to cover multi-relational data mining and inductive logic programming, this book fully explores logical and relational learning. Ideal for graduate students and researchers,  Read more...

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From the reviews:"This book is an invaluable resource for anyone interested in exploiting the power of logical representations to learn from highly structured data. The book offers a systematic and Read more...

 
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