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ANNPR
2006
Springer
15 years 10 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
16 years 13 hour ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
JNW
2006
126views more  JNW 2006»
15 years 6 months ago
Gateway Deployment optimization in Cellular Wi-Fi Mesh Networks
With the standardization of IEEE 802.11, there has been an explosive growth of wireless local area networks (WLAN). Recently, this cost effective technology is being developed aggr...
Rajesh Prasad, Hongyi Wu
4OR
2007
99views more  4OR 2007»
15 years 6 months ago
Combinatorial optimization problems in wireless switch design
The purpose of this paper is to illustrate the diversity of combinatorial problems encountered in the design of wireless switching systems. This is done via a representative selec...
Renaud Sirdey
CORR
2010
Springer
125views Education» more  CORR 2010»
15 years 6 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray