PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Miori V., Russo D., Pulidori A. Learning from experience to anticipate domestic needs. In: ERCIM News, vol. 84 pp. 36 - 37. Special issue: Intelligent and Cognitive Systems. ERCIM, 2011.
 
 
Abstract
(English)
With the increasing influence of technology on our lives, it is becoming ever more important to offer new ambient intelligence solutions which enable humans to adapt and organize their lives around computational technologies and technologies to adapt to meet user behaviour. We apply machine learning techniques to demonstrate how user needs can be satisfied and anticipated by adding Ambient Intelligence solutions to any environment equipped with well-established commercial domotic systems.
URL: http://ercim-news.ercim.eu/images/stories/EN84/EN84-web.pdf
Subject Domotics
Ambient Intelligence
Machine Learning
AmI
Data Mining
I.2.1 Applications and Expert Systems


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