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Inductive Logic Programming

23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Gerson Zaverucha

    1. University of Rio de Janeiro, Rio de Janeiro, Brazil

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  2. Vítor Santos Costa

    1. University of Porto, Porto, Portugal

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  3. Aline Paes

    1. Fluminense Federal University, Niterói, Brazil

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8812)

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

Included in the following conference series:

Conference proceedings info: ILP 2013.

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Table of contents (9 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement

    • Stephen H. Muggleton, Dianhuan Lin, Jianzhong Chen, Alireza Tamaddoni-Nezhad
    Pages 1-17

  3. On Differentially Private Inductive Logic Programming

    • Chen Zeng, Eric Lantz, Jeffrey F. Naughton, David Page
    Pages 18-30

  4. Learning Through Hypothesis Refinement Using Answer Set Programming

    • Duangtida Athakravi, Domenico Corapi, Krysia Broda, Alessandra Russo
    Pages 31-46

  5. A BDD-Based Algorithm for Learning from Interpretation Transition

    • Tony Ribeiro, Katsumi Inoue, Chiaki Sakama
    Pages 47-63

  6. Accelerating Imitation Learning in Relational Domains via Transfer by Initialization

    • Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
    Pages 64-75

  7. A Direct Policy-Search Algorithm for Relational Reinforcement Learning

    • Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
    Pages 76-92

  8. AND Parallelism for ILP: The APIS System

    • Rui Camacho, Ruy Ramos, Nuno A. Fonseca
    Pages 93-106

  9. Generalized Counting for Lifted Variable Elimination

    • Nima Taghipour, Jesse Davis, Hendrik Blockeel
    Pages 107-122

  10. A FOIL-Like Method for Learning under Incompleteness and Vagueness

    • Francesca A. Lisi, Umberto Straccia
    Pages 123-139

  11. Back Matter

    Pages 141-141
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  1. Inductive Logic Programming

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About this book

This book constitutes the thoroughly refereed post-proceedings of the 23rd International Conference on Inductive Logic Programming, ILP 2013, held in Rio de Janeiro, Brazil, in August 2013.
The 9 revised extended papers were carefully reviewed and selected from 42 submissions. The conference now focuses on all aspects of learning in logic, multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and other forms of learning from structured data.

Editors and Affiliations

  • University of Rio de Janeiro, Rio de Janeiro, Brazil

    Gerson Zaverucha

  • University of Porto, Porto, Portugal

    Vítor Santos Costa

  • Fluminense Federal University, Niterói, Brazil

    Aline Paes

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