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.

Uložené v:
Podrobná bibliografia
Vydané v:Machine learning Ročník 108; číslo 7; s. 1057 - 1059
Hlavní autori: Lachiche, Nicolas, Vrain, Christel, Riguzzi, Fabrizio, Bellodi, Elena, Zese, Riccardo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.07.2019
Springer Nature B.V
Springer Verlag
Predmet:
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
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
Bibliografia:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:0885-6125
1573-0565
DOI:10.1007/s10994-019-05790-6