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89
Voted
PAA
2006
15 years 1 months ago
2006
Feature selection aims to choose a feature subset that has the most discriminative information from the original feature set. In practical cases, it is preferable to select a featu...
108
Voted
ESANN
2006
15 years 2 months ago
2006
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
103
Voted
ESANN
2003
15 years 2 months ago
2003
A novel feature selection methodology is proposed with the concept of mutual information. The proposed methodology effectively circumvents two major problems in feature selection ...
100
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ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
114
Voted
INFOCOM
2010
IEEE
14 years 11 months ago
2010
IEEE
—In wireless networks, how to select transmit power that maximizes throughput is a challenging problem. On one hand, transmissions at a high power level could increase interferen...