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» The cross entropy method for classification
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ICML
2005
IEEE
14 years 5 months ago
The cross entropy method for classification
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
ORL
2007
108views more  ORL 2007»
13 years 4 months ago
Convergence properties of the cross-entropy method for discrete optimization
We present new theoretical convergence results on the Cross-Entropy method for discrete optimization. Our primary contribution is to show that a popular implementation of the Cros...
Andre Costa, Owen Dafydd Jones, Dirk P. Kroese
IEEEICCI
2006
IEEE
13 years 10 months ago
Using Feature Selection Filtering Methods for Binding Site Predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we applied classification techniques on predictio...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
ICML
2003
IEEE
14 years 5 months ago
The Cross Entropy Method for Fast Policy Search
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
IDEAL
2005
Springer
13 years 10 months ago
Designing an Optimal Network Using the Cross-Entropy Method
Consider a network of unreliable links, each of which comes with a certain price and reliability. Given a fixed budget, which links should be bought in order to maximize the syste...
Sho Nariai, Kin-Ping Hui, Dirk P. Kroese