Logical and relational learning

Author(s)

Bibliographic Information

Logical and relational learning

Luc De Raedt

(Cognitive technologies)

Springer, c2008

Available at  / 7 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Table of 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.

by "Nielsen BookData"

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Details

  • NCID
    BA87285162
  • ISBN
    • 9783540200406
  • LCCN
    2008933706
  • Country Code
    gw
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Berlin
  • Pages/Volumes
    xv, 387 p.
  • Size
    24 cm
  • Parent Bibliography ID
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