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Lecture Notes in Artificial Intelligence

Inductive Logic Programming

17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers

Editors: Blockeel, H., Ramon, J., Shavlik, J., Tadepalli, P. (Eds.)

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Table of contents (28 chapters)

Table of contents (28 chapters)
  • Learning with Kernels and Logical Representations

    Pages 1-3

    Frasconi, Paolo

  • Beyond Prediction: Directions for Probabilistic and Relational Learning

    Pages 4-21

    Jensen, David D.

  • Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract)

    Pages 22-23

    Chen, Jianzhong (et al.)

  • Learning Directed Probabilistic Logical Models Using Ordering-Search

    Pages 24-24

    Fierens, Daan (et al.)

  • Learning to Assign Degrees of Belief in Relational Domains

    Pages 25-26

    Koriche, Frédéric

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-3-540-78469-2
  • 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 in USD
  • ISBN 978-3-540-78468-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Inductive Logic Programming
Book Subtitle
17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers
Editors
  • Hendrik Blockeel
  • Jan Ramon
  • Jude Shavlik
  • Prasad Tadepalli
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4894
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78469-2
DOI
10.1007/978-3-540-78469-2
Softcover ISBN
978-3-540-78468-5
Edition Number
1
Number of Pages
XI, 307
Topics

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