Online probabilistic theory revision from examples with ProPPR

Handling relational data streams has become a crucial task, given the availability of pervasive sensors and Internet-produced content, such as social networks and knowledge graphs. In a relational environment, this is a particularly challenging task, since one cannot assure that the streams of examp...

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Veröffentlicht in:	Machine learning Jg. 108; H. 7; S. 1165 - 1189
Hauptverfasser:	Guimarães, Victor, Paes, Aline, Zaverucha, Gerson
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2019 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computer Science Control Data transmission Digital media Distance learning Knowledge management Machine learning Mechatronics Natural Language Processing (NLP) Robotics Simulation and Modeling Social networks Special Issue of the Inductive Logic Programming (ILP) 2017-2018 Statistical analysis Mining data streams Statistical relational learning Inductive logic programming Online learning Theory revision from examples
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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