Inductive Logic Programming

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

  • Stephen H. Muggleton
  • Alireza Tamaddoni-Nezhad
  • Francesca A. Lisi
Conference proceedings ILP 2011
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7207)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Hector Geffner
      Pages 1-1
    2. Toby Walsh
      Pages 7-13
  3. Special Issue Extended Abstracts

    1. Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
      Pages 20-25
    2. Frédéric Koriche
      Pages 26-32
    3. Joris Renkens, Guy Van den Broeck, Siegfried Nijssen
      Pages 33-38
    4. Oliver Schulte, Hassan Khosravi, Tong Man
      Pages 39-44
  4. Research Papers

    1. Dalal Alrajeh, Alessandra Russo, Sebastian Uchitel, Jeff Kramer
      Pages 45-60
    2. Elena Bellodi, Fabrizio Riguzzi
      Pages 61-75
    3. Radomír Černoch, Filip Železný
      Pages 76-90
    4. Domenico Corapi, Alessandra Russo, Emil Lupu
      Pages 91-97
    5. Brahim Douar, Michel Liquiere, Chiraz Latiri, Yahya Slimani
      Pages 98-112
    6. Krishna Dubba, Mehul Bhatt, Frank Dylla, David C. Hogg, Anthony G. Cohn
      Pages 113-129
    7. Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
      Pages 130-144
    8. Nuno A. Fonseca, Vítor Santos Costa, Rui Camacho
      Pages 145-159
    9. Joris J. M. Gillis, Jan Van den Bussche
      Pages 160-172
    10. Katsumi Inoue
      Pages 173-188
    11. Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato
      Pages 189-203

About these proceedings

Introduction

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.

Keywords

artificial intelligence graphs machine learning probabilistic models relational networks

Editors and affiliations

  • Stephen H. Muggleton
    • 1
  • Alireza Tamaddoni-Nezhad
    • 1
  • Francesca A. Lisi
    • 2
  1. 1.Department of Computer ScienceImperial College LondonLondonUK
  2. 2.Dipartimento di InformaticaUniversità degli Studi di Bari “Aldo Moro”BariItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31951-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-31950-1
  • Online ISBN 978-3-642-31951-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book