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NIPS
1994
15 years 8 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
JLP
2006
126views more  JLP 2006»
15 years 6 months ago
Compositional modeling and refinement for hierarchical hybrid systems
In this paper, we develop a theory of modular design and refinement of hierarchical hybrid systems. In particular, we present compositional trace-based semantics for the language ...
Rajeev Alur, Radu Grosu, Insup Lee, Oleg Sokolsky
NGC
2000
Springer
101views Communications» more  NGC 2000»
15 years 6 months ago
Information Access in Multimedia Databases Based on Feature Models
With the increasing popularity of the WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. Access to multimedia objects in database...
Arjen P. de Vries, Menzo Windhouwer, Peter M. G. A...
TITS
2002
148views more  TITS 2002»
15 years 6 months ago
A self-describing data transfer model for ITS applications
The wide variety of remote sensors used in Intelligent Transportation Systems (ITS) applications (loops, probe vehicles, radar, cameras, etc.) has created a need for general method...
Daniel J. Dailey, Stuart Maclean, Fritz W. Cathey,...
ERCIM
2008
94views more  ERCIM 2008»
15 years 6 months ago
Model-Based Development of Distributed Embedded Real-Time Systems
The increasing complexity of distributed embedded systems, as found today in airplanes or cars, becomes more and more a critical cost-factor for their development. Model-based app...
Wolfgang Herzner, Martin Schlager, György Cse...