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KI
2008
Springer
13 years 7 months ago
Autonomous Learning of User's Preferences Improved through User Feedback
Ambient Intelligent (AmI) environments are supposed to act proactively anticipating the user's needs and preferences, therefore the capability of an AmI system to learn those ...
Asier Aztiria, Juan Carlos Augusto, Alberto Izagui...
SOCIALCOM
2010
13 years 5 months ago
Failure Feedback for User Obligation Systems
In recent years, several researchers have proposed techniques for providing users with assistance in understanding and overcoming authorization denials. The incorporation of envir...
Murillo Pontual, Keith Irwin, Omar Chowdhury, Will...
CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
VLDB
2001
ACM
94views Database» more  VLDB 2001»
13 years 12 months ago
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
In recent years, several methods have been proposed for implementing interactive similarity queries on multimedia databases. Common to all these methods is the idea to exploit use...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
CASES
2007
ACM
13 years 11 months ago
Towards understanding architectural tradeoffs in MEMS closed-loop feedback control
Micro-Electro-Mechanical Systems (MEMS) combine lithographically formed mechanical structures with electrical elements to create physical systems that operate on the scale of micr...
Greg Hoover, Forrest Brewer, Timothy Sherwood