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  • © 2008

Probabilistic Inductive Logic Programming

Editors:

  1. Luc Raedt
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  2. Paolo Frasconi
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  3. Kristian Kersting
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  4. Stephen Muggleton
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4911)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (13 chapters)

  1. Front Matter

    PDF

  2. Introduction

    1. Probabilistic Inductive Logic Programming

      • Luc De Raedt, Kristian Kersting
      Pages 1-27

  3. Formalisms and Systems

    1. Relational Sequence Learning

      • Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr
      Pages 28-55

    2. Learning with Kernels and Logical Representations

      • Paolo Frasconi, Andrea Passerini
      Pages 56-91

    3. Markov Logic

      • Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
      Pages 92-117

    4. New Advances in Logic-Based Probabilistic Modeling by PRISM

      • Taisuke Sato, Yoshitaka Kameya
      Pages 118-155

    5. CLP(\(\cal{BN}\)): Constraint Logic Programming for Probabilistic Knowledge

      • Vítor Santos Costa, David Page, James Cussens
      Pages 156-188

    6. Basic Principles of Learning Bayesian Logic Programs

      • Kristian Kersting, Luc De Raedt
      Pages 189-221

    7. The Independent Choice Logic and Beyond

      • David Poole
      Pages 222-243

  4. Applications

    1. Protein Fold Discovery Using Stochastic Logic Programs

      • Jianzhong Chen, Lawrence Kelley, Stephen Muggleton, Michael Sternberg
      Pages 244-262

    2. Probabilistic Logic Learning from Haplotype Data

      • Niels Landwehr, Taneli Mielikäinen
      Pages 263-286

  5. Theory

    1. A Behavioral Comparison of Some Probabilistic Logic Models

      • Stephen Muggleton, Jianzhong Chen
      Pages 305-324

    2. Model-Theoretic Expressivity Analysis

      • Manfred Jaeger
      Pages 325-339

  6. Back Matter

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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