Incremental learning of event definitions with Inductive Logic Programming

Event recognition systems rely on knowledge bases of event definitions to infer occurrences of events in time. Using a logical framework for representing and reasoning about events offers direct connections to machine learning, via Inductive Logic Programming (ILP), thus allowing to avoid the tediou...

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Vydané v:	Machine learning Ročník 100; číslo 2-3; s. 555 - 585
Hlavní autori:	Katzouris, Nikos, Artikis, Alexander, Paliouras, Georgios
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2015 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Computer Science Control Learning Logic programming Machine learning Manuals Mechatronics Natural Language Processing (NLP) Recognition Robotics Simulation and Modeling Tasks Temporal logic Abductive–Inductive Logic Programming Incremental learning Event recognition Event Calculus
ISSN:	0885-6125, 1573-0565
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