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  • Conference proceedings
  • © 2018

Inductive Logic Programming

28th International Conference, ILP 2018, Ferrara, Italy, September 2–4, 2018, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11105)

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 2018.

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Table of contents (11 papers)

  1. Front Matter

    Pages I-IX
  2. Derivation Reduction of Metarules in Meta-interpretive Learning

    • Andrew Cropper, Sophie Tourret
    Pages 1-21
  3. Large-Scale Assessment of Deep Relational Machines

    • Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
    Pages 22-37
  4. Diagnostics of Trains with Semantic Diagnostics Rules

    • Evgeny Kharlamov, Ognjen Savković, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayc et al.
    Pages 54-71
  5. The Game of Bridge: A Challenge for ILP

    • Swann Legras, Céline Rouveirol, Véronique Ventos
    Pages 72-87
  6. Learning Dynamics with Synchronous, Asynchronous and General Semantics

    • Tony Ribeiro, Maxime Folschette, Morgan Magnin, Olivier Roux, Katsumi Inoue
    Pages 118-140
  7. Targeted End-to-End Knowledge Graph Decomposition

    • Blaž Škrlj, Jan Kralj, Nada Lavrač
    Pages 157-171
  8. Back Matter

    Pages 173-173

Other Volumes

  1. Inductive Logic Programming

About this book

This book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILP 2018, held in Ferrara, Italy, in September 2018.

The 10 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

Editors and Affiliations

  • University of Ferrara, Ferrara, Italy

    Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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