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...

Full description

Saved in:

Bibliographic Details
Published in:	Machine learning Vol. 100; no. 2-3; pp. 555 - 585
Main Authors:	Katzouris, Nikos, Artikis, Alexander, Paliouras, Georgios
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2015 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!