Learning Situation Models in a Smart Home

This paper addresses the problem of learning situation models for providing context-aware services. Context for modeling human behavior in a smart environment is represented by a situation model describing environment, users, and their activities. A framework for acquiring and evolving different lay...

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Vydané v:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Ročník 39; číslo 1; s. 56 - 63
Hlavní autori:	Brdiczka, O., Crowley, J.L., Reignier, P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2009
Predmet:	Algorithms Artificial Intelligence Behavior - physiology Computer Simulation Context awareness Context modeling Context-aware services Cybernetics Data mining Environment Evolution Extraction Feedback Frames Human behavior Human computer interaction human-centered computing Humans Layout Learning Learning systems Machine learning Markov Chains Mathematical models Pattern Recognition, Automated - methods Representations Role situation modeling situation split Smart homes Sociometric Techniques Supervised learning situation modeling human-centered computing situation split machine learning Context awareness
ISSN:	1083-4419, 1941-0492, 1941-0492
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