Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10326)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ILP 2016.
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Table of contents (10 papers)
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Front Matter
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Back Matter
Other volumes
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Inductive Logic Programming
Keywords
About this book
The 10 full papers presented were carefully reviewed and selected from 29 submissions. The papers represent well the current breath of ILP research topics such as predicate invention; graph-based learning; spatial learning; logical foundations; statistical relational learning; probabilistic ILP; implementation and scalability; applications in robotics, cyber security and games.
Editors and Affiliations
Bibliographic Information
Book Title: Inductive Logic Programming
Book Subtitle: 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers
Editors: James Cussens, Alessandra Russo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-63342-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-63341-1Published: 16 July 2017
eBook ISBN: 978-3-319-63342-8Published: 15 July 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 133
Number of Illustrations: 44 b/w illustrations
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Programming Techniques, Logics and Meanings of Programs, Data Mining and Knowledge Discovery