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  • Conference proceedings
  • © 2008

Inductive Logic Programming

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4894)

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

Conference series link(s): ILP: International Conference on Inductive Logic Programming

Conference proceedings info: ILP 2007.

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Table of contents (28 papers)

  1. Front Matter

  2. Extended Abstracts

    1. Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract)

      • Jianzhong Chen, Stephen Muggleton, José Santos
      Pages 22-23
    2. Learning Directed Probabilistic Logical Models Using Ordering-Search

      • Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
      Pages 24-24
    3. Bias/Variance Analysis for Relational Domains

      • Jennifer Neville, David Jensen
      Pages 27-28
  3. Full Papers

    1. Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

      • Claudia d’Amato, Nicola Fanizzi, Floriana Esposito
      Pages 29-38
    2. Clustering Relational Data Based on Randomized Propositionalization

      • Grant Anderson, Bernhard Pfahringer
      Pages 39-48
    3. Learning Declarative Bias

      • Will Bridewell, Ljupčo Todorovski
      Pages 63-77
    4. ILP :- Just Trie It

      • Rui Camacho, Nuno A. Fonseca, Ricardo Rocha, Vítor Santos Costa
      Pages 78-87
    5. Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning

      • Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe
      Pages 88-97
    6. A Phase Transition-Based Perspective on Multiple Instance Kernels

      • Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols
      Pages 112-121
    7. Applying Inductive Logic Programming to Process Mining

      • Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Sergio Storari
      Pages 132-146
    8. Foundations of Refinement Operators for Description Logics

      • Jens Lehmann, Pascal Hitzler
      Pages 161-174
    9. A Relational Hierarchical Model for Decision-Theoretic Assistance

      • Sriraam Natarajan, Prasad Tadepalli, Alan Fern
      Pages 175-190

Other Volumes

  1. Inductive Logic Programming

Keywords

  • data mining
  • knowledge
  • knowledge representation
  • learning
  • logic
  • machine learning
  • programming
  • reinforcement learning
  • algorithm analysis and problem complexity

Bibliographic Information

Buying options

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions