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Inductive Logic Programming

21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

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Editors:
  1. Stephen H. Muggleton

    1. Department of Computer Science, Imperial College London, London, UK

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  2. Alireza Tamaddoni-Nezhad

    1. Department of Computer Science, Imperial College London, London, UK

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  3. Francesca A. Lisi

    1. Dipartimento di Informatica, Università degli Studi di Bari “Aldo Moro”, Bari, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7207)

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

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Conference proceedings info: ILP 2011.

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Table of contents (32 papers)

  1. Front Matter

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  2. Invited Talks

    1. Inference and Learning in Planning

      • Hector Geffner
      Pages 1-1

    2. Beyond Reward: The Problem of Knowledge and Data

      • Richard S. Sutton
      Pages 2-6

    3. Exploiting Constraints

      • Toby Walsh
      Pages 7-13

  3. Special Issue Extended Abstracts

    1. Online Bayesian Inference for the Parameters of PRISM Programs

      • James Cussens
      Pages 14-19

    2. Learning Compact Markov Logic Networks with Decision Trees

      • Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
      Pages 20-25

    3. Relational Networks of Conditional Preferences

      • Frédéric Koriche
      Pages 26-32

    4. k-Optimal: A Novel Approximate Inference Algorithm for ProbLog

      • Joris Renkens, Guy Van den Broeck, Siegfried Nijssen
      Pages 33-38

    5. Learning Directed Relational Models with Recursive Dependencies

      • Oliver Schulte, Hassan Khosravi, Tong Man
      Pages 39-44

  4. Research Papers

    1. Integrating Model Checking and Inductive Logic Programming

      • Dalal Alrajeh, Alessandra Russo, Sebastian Uchitel, Jeff Kramer
      Pages 45-60

    2. Learning the Structure of Probabilistic Logic Programs

      • Elena Bellodi, Fabrizio Riguzzi
      Pages 61-75

    3. Subgroup Discovery Using Bump Hunting on Multi-relational Histograms

      • Radomír Černoch, Filip Železný
      Pages 76-90

    4. Inductive Logic Programming in Answer Set Programming

      • Domenico Corapi, Alessandra Russo, Emil Lupu
      Pages 91-97

    5. Graph-Based Relational Learning with a Polynomial Time Projection Algorithm

      • Brahim Douar, Michel Liquiere, Chiraz Latiri, Yahya Slimani
      Pages 98-112

    6. Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models

      • Krishna Dubba, Mehul Bhatt, Frank Dylla, David C. Hogg, Anthony G. Cohn
      Pages 113-129

    7. Predictive Sequence Miner in ILP Learning

      • Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
      Pages 130-144

    8. Conceptual Clustering of Multi-Relational Data

      • Nuno A. Fonseca, Vítor Santos Costa, Rui Camacho
      Pages 145-159

    9. Expressive Power of Safe First-Order Logical Decision Trees

      • Joris J. M. Gillis, Jan Van den Bussche
      Pages 160-172

    10. DNF Hypotheses in Explanatory Induction

      • Katsumi Inoue
      Pages 173-188

    11. Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs

      • Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato
      Pages 189-203
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About this book

This book constitutes the thoroughly refereed post-proceedings of the 21st International Conference on Inductive Logic Programming, ILP 2011, held in Windsor Great Park, UK, in July/August 2011. The 24 revised full papers were carefully reviewed and selected from 66 submissions. Also included are five extended abstracts and three invited talks. The papers represent the diversity and vitality in present ILP research including ILP theory, implementations, probabilistic ILP, biological applications, sub-group discovery, grammatical inference, relational kernels, learning of Petri nets, spatial learning, graph-based learning, and learning of action models.

Editors and Affiliations

  • Department of Computer Science, Imperial College London, London, UK

    Stephen H. Muggleton, Alireza Tamaddoni-Nezhad

  • Dipartimento di Informatica, Università degli Studi di Bari “Aldo Moro”, Bari, Italy

    Francesca A. Lisi

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