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» Feature Selection from Huge Feature Sets
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ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
15 years 11 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
BMCBI
2006
200views more  BMCBI 2006»
15 years 6 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
EPS
1998
Springer
15 years 10 months ago
Acquisition of General Adaptive Features by Evolution
We investigate the following question. Do populations of evolving agents adapt only to their recent environment or do general adaptive features appear over time? We find statistica...
Dan Ashlock, John E. Mayfield
ICIP
2010
IEEE
15 years 4 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
16 years 10 days ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka