Skip to main content
  • 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.

Buy it now

Buying options

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

This is a preview of subscription content, log in via an institution to check for access.

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

Bibliographic Information

Buy it now

Buying options

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