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» On the Power of the Randomized Iterate
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CSDA
2007
151views more  CSDA 2007»
15 years 6 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...
PR
2008
137views more  PR 2008»
15 years 6 months ago
Cancellable biometrics and annotations on BioHash
Lately, the once powerful one-factor authentication which is based solely on either password, token or biometric approach, appears to be insufficient in addressing the challenges ...
Andrew Beng Jin Teoh, Yip Wai Kuan, Sangyoun Lee
TDSC
2008
121views more  TDSC 2008»
15 years 6 months ago
Multipath Key Establishment for Wireless Sensor Networks Using Just-Enough Redundancy Transmission
In random key predistribution techniques for wireless sensor networks, a relatively small number of keys are randomly chosen from a large key pool and are loaded on the sensors pri...
Jing Deng, Yunghsiang S. Han
CG
2010
Springer
15 years 4 months ago
A Principled Method for Exploiting Opening Books
We used in the past a lot of computational power and human expertise for having a very big dataset of good 9x9 Go games, in order to build an opening book. We improved a lot the al...
Romaric Gaudel, Jean-Baptiste Hoock, Julien Perez,...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 4 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel