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» Feature Subset Selection Using a Genetic Algorithm
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BMCBI
2010
88views more  BMCBI 2010»
13 years 9 months ago
FastTagger: an efficient algorithm for genome-wide tag SNP selection using multi-marker linkage disequilibrium
Background: Human genome contains millions of common single nucleotide polymorphisms (SNPs) and these SNPs play an important role in understanding the association between genetic ...
Guimei Liu, Yue Wang, Limsoon Wong
ML
2010
ACM
119views Machine Learning» more  ML 2010»
13 years 7 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...
ECCV
2004
Springer
14 years 10 months ago
Kernel Feature Selection with Side Data Using a Spectral Approach
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...
Amnon Shashua, Lior Wolf
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
14 years 12 days ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
ICML
2003
IEEE
14 years 9 months ago
Online Feature Selection using Grafting
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
Simon Perkins, James Theiler