5138 search results - page 53 / 1028 » Low-Entropy Set Selection. |
PAA
2006
13 years 10 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...
ESANN
2006
13 years 11 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...
ESANN
2003
13 years 11 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 ...
ICPR
2008
IEEE
14 years 11 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...
INFOCOM
2010
IEEE
13 years 8 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...