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» Messy Genetic Algorithms for Subset Feature Selection
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196
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CORR
2011
Springer
168views Education» more  CORR 2011»
15 years 9 days ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
176
Voted
SGAI
2009
Springer
15 years 10 months ago
Remainder Subset Awareness for Feature Subset Selection
Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The fa...
Gabriel Prat-Masramon, Lluís A. Belanche Mu...
ICPR
2010
IEEE
15 years 6 months ago
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
Petr Somol, Jiri Grim, Pavel Pudil
163
Voted
ICB
2007
Springer
185views Biometrics» more  ICB 2007»
15 years 12 months ago
Biometric Hashing Based on Genetic Selection and Its Application to On-Line Signatures
We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
Manuel R. Freire, Julian Fiérrez-Aguilar, J...
144
Voted
ICPR
2006
IEEE
16 years 7 months ago
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
Pavel Pudil, Petr Somol