Name: Inductive Logic Programming
ISBN: 978-3-319-40566-7

Overview

Editors:

Katsumi Inoue⁰,
Hayato Ohwada¹,
Akihiro Yamamoto²

Katsumi Inoue
1. National Institute of Informatics, Tokyo, Japan
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Hayato Ohwada
1. Tokyo University of Science, Noda, Japan
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Akihiro Yamamoto
1. Kyoto University, Kyoto, Japan
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Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9575)

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

Included in the following conference series:

ILP: International Joint Conference on Learning and Reasoning

Conference proceedings info: ILP 2015.

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Conference on Inductive Logic Programming, ILP 2015, held in Kyoto, Japan, in August 2015.

The 14 revised papers presented were carefully reviewed and selected from 44 submissions. The papers focus on topics such as theories, algorithms, representations and languages, systems and applications of ILP, and cover all areas of learning in logic, relational learning, relational data mining, statistical relational learning, multi-relational data mining, relational reinforcement learning, graph mining, connections with other learning paradigms, among others.

Keywords

Table of contents (14 papers)

Front Matter

Pages I-X

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Relational Kernel-Based Grasping with Numerical Features
- Laura Antanas, Plinio Moreno, Luc De Raedt
Pages 1-14
CARAF: Complex Aggregates within Random Forests
- Clément Charnay, Nicolas Lachiche, Agnès Braud
Pages 15-29
Distributed Parameter Learning for Probabilistic Ontologies
- Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma
Pages 30-45
Meta-Interpretive Learning of Data Transformation Programs
- Andrew Cropper, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton
Pages 46-59
Statistical Relational Learning with Soft Quantifiers
- Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock
Pages 60-75
Ontology Learning from Interpretations in Lightweight Description Logics
- Szymon Klarman, Katarina Britz
Pages 76-90
Constructing Markov Logic Networks from First-Order Default Rules
- Ondřej Kuželka, Jesse Davis, Steven Schockaert
Pages 91-105
Mine ’Em All: A Note on Mining All Graphs
- Ondřej Kuželka, Jan Ramon
Pages 106-121
Processing Markov Logic Networks with GPUs: Accelerating Network Grounding
- Carlos Alberto Martínez-Angeles, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez
Pages 122-136
Using ILP to Identify Pathway Activation Patterns in Systems Biology
- Samuel R. Neaves, Louise A. C. Millard, Sophia Tsoka
Pages 137-151
kProbLog: An Algebraic Prolog for Kernel Programming
- Francesco Orsini, Paolo Frasconi, Luc De Raedt
Pages 152-165
An Exercise in Declarative Modeling for Relational Query Mining
- Sergey Paramonov, Matthijs van Leeuwen, Marc Denecker, Luc De Raedt
Pages 166-182
Learning Inference by Induction
- Chiaki Sakama, Tony Ribeiro, Katsumi Inoue
Pages 183-199
Identification of Transition Models of Biological Systems in the Presence of Transition Noise
- Ashwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal
Pages 200-214
Back Matter

Pages 215-215

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Other volumes

Inductive Logic Programming

Editors and Affiliations

National Institute of Informatics, Tokyo, Japan

Katsumi Inoue
Tokyo University of Science, Noda, Japan

Hayato Ohwada
Kyoto University, Kyoto, Japan

Akihiro Yamamoto

Bibliographic Information

Book Title: Inductive Logic Programming
Book Subtitle: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers
Editors: Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-40566-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-40565-0Published: 12 June 2016
eBook ISBN: 978-3-319-40566-7Published: 25 June 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 215
Number of Illustrations: 56 b/w illustrations
Topics: Mathematical Logic and Formal Languages, Artificial Intelligence, Programming Techniques, Logics and Meanings of Programs, Data Mining and Knowledge Discovery

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