Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018

Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Programming, based on logic as a uniform representation language for expressing examples, background knowledge and hypotheses.

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Bibliographic Details
Published in:Machine learning Vol. 108; no. 7; pp. 1057 - 1059
Main Authors: Lachiche, Nicolas, Vrain, Christel, Riguzzi, Fabrizio, Bellodi, Elena, Zese, Riccardo
Format: Journal Article
Language:English
Published: New York Springer US 01.07.2019
Springer Nature B.V
Springer Verlag
Subjects:
Artificial Intelligence
Computer Science
Control
Editorial
Logic programming
Machine Learning
Mechatronics
Natural Language Processing (NLP)
Robotics
Simulation and Modeling
Special Issue of the Inductive Logic Programming (ILP) 2017-2018
ISSN:0885-6125, 1573-0565
Online Access:Get full text
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Description
Summary:Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Programming, based on logic as a uniform representation language for expressing examples, background knowledge and hypotheses.
Bibliography:SourceType-Scholarly Journals-1
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ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:0885-6125
1573-0565
DOI:10.1007/s10994-019-05790-6