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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Veröffentlicht in:Machine learning Jg. 108; H. 7; S. 1057 - 1059
Hauptverfasser: Lachiche, Nicolas, Vrain, Christel, Riguzzi, Fabrizio, Bellodi, Elena, Zese, Riccardo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.07.2019
Springer Nature B.V
Springer Verlag
Schlagworte:
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-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:SourceType-Scholarly Journals-1
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ISSN:0885-6125
1573-0565
DOI:10.1007/s10994-019-05790-6