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ICGA
1997
133views Optimization» more  ICGA 1997»
13 years 10 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
ICASSP
2011
IEEE
13 years 16 days ago
Classifier subset selection and fusion for speaker verification
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification deci...
Filip Sedlak, Tomi Kinnunen, Ville Hautamäki,...
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 2 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
ICASSP
2011
IEEE
13 years 16 days ago
A combinatorial optimization framework for subset selection in distributed multiple-radar architectures
Abstract—Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, the achievable localization...
Hana Godrich, Athina P. Petropulu, H. Vincent Poor