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» Selection in the Presence of Noise
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2010
Tsinghua U.
15 years 1 months ago
Robust Perfect Revenue From Perfectly Informed Players
: Maximizing revenue in the presence of perfectly informed players is a well known goal in mechanism design. Yet, all current mechanisms for this goal are vulnerable to equilibrium...
Jing Chen, Avinatan Hassidim, Silvio Micali
BMCBI
2006
140views more  BMCBI 2006»
14 years 10 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
BMCBI
2006
146views more  BMCBI 2006»
14 years 10 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 1 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen