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» Feature Selection for Complex Patterns
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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 1 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
BMCBI
2006
190views more  BMCBI 2006»
13 years 9 months ago
SNPs3D: Candidate gene and SNP selection for association studies
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Peng Yue, Eugene Melamud, John Moult
ICPR
2004
IEEE
14 years 10 months ago
Efficient Calculation of the Complete Optimal Classification Set
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
Martin Brown, Nicholas Costen, Shigeru Akamatsu
IROS
2009
IEEE
110views Robotics» more  IROS 2009»
14 years 3 months ago
Colorimetry-based visual servoing
Abstract— The goal of this paper is to present a way to perform visual servoing tasks from color attributes. This approach can be seen as an extension of our previous papers base...
Christophe Collewet, Éric Marchand
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson