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CSDA
2007
120views more  CSDA 2007»
15 years 6 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
JMLR
2006
80views more  JMLR 2006»
15 years 6 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
EOR
2007
102views more  EOR 2007»
15 years 6 months ago
Sub-stochastic matrix analysis for bounds computation - Theoretical results
Performance evaluation of complex systems is a critical issue and bounds computation provides confidence about service quality, reliability, etc. of such systems. The stochastic ...
Serge Haddad, Patrice Moreaux
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 6 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
PAMI
2006
146views more  PAMI 2006»
15 years 6 months ago
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
A visual search is required when applying a recognition process on a scene containing multiple objects. In such cases, we would like to avoid an exhaustive sequential search. This...
Tamar Avraham, Michael Lindenbaum
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