Lecture Notes in Artificial Intelligence

Probabilistic Inductive Logic Programming

Editors: De Raedt, L., Frasconi, P., Kersting, K., Muggleton, S.H. (Eds.)

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Table of contents (13 chapters)

  • Probabilistic Inductive Logic Programming

    Raedt, Luc (et al.)

    Pages 1-27

  • Relational Sequence Learning

    Kersting, Kristian (et al.)

    Pages 28-55

  • Learning with Kernels and Logical Representations

    Frasconi, Paolo (et al.)

    Pages 56-91

  • Markov Logic

    Domingos, Pedro (et al.)

    Pages 92-117

  • New Advances in Logic-Based Probabilistic Modeling by PRISM

    Sato, Taisuke (et al.)

    Pages 118-155

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-78652-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-78651-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Probabilistic Inductive Logic Programming
Editors
  • Luc De Raedt
  • Paolo Frasconi
  • Kristian Kersting
  • Stephen H. Muggleton
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4911
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78652-8
DOI
10.1007/978-3-540-78652-8
Softcover ISBN
978-3-540-78651-1
Edition Number
1
Number of Pages
VIII, 341
Topics