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» Adaptive Learning from Evolving Data Streams
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IUI
1997
ACM
15 years 8 months ago
Inductive Task Modeling for User Interface Customization
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
David Maulsby
151
Voted
ICB
2009
Springer
184views Biometrics» more  ICB 2009»
15 years 10 months ago
Challenges and Research Directions for Adaptive Biometric Recognition Systems
Biometric authentication using mobile devices is becoming a convenient and important means to secure access to remote services such as telebanking and electronic transactions. Such...
Norman Poh, Rita Wong, Josef Kittler, Fabio Roli
AHS
2006
IEEE
142views Hardware» more  AHS 2006»
15 years 9 months ago
On-Chip Evolution Using a Soft Processor Core Applied to Image Recognition
To increase the flexibility of single-chip evolvable hardware systems, we explore possibilities of systems with the evolutionary algorithm implemented in software on an onchip pr...
Kyrre Glette, Jim Torresen, Moritoshi Yasunaga, Yo...
ECTEL
2011
Springer
14 years 3 months ago
On the Way to a Science Intelligence: Visualizing TEL Tweets for Trend Detection
This paper presents an adaptable system for detecting trends based on the micro-blogging service Twitter, and sets out to explore to what extent such a tool can support researchers...
Peter Kraker, Claudia Wagner, Fleur Jeanquartier, ...
145
Voted
SIAMCOMP
2002
152views more  SIAMCOMP 2002»
15 years 3 months ago
Maintaining Stream Statistics over Sliding Windows
We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev...