Feature subset selection in large dimensionality domains

DOI10.1016/j.patcog.2009.06.009zbMath1192.68574OpenAlexW2069928051MaRDI QIDQ733117

Leslie S. Smith, Iffat A. Gheyas

Publication date: 15 October 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: http://dspace.stir.ac.uk/bitstream/1893/1654/1/PR_3589_corrected.pdf

zbMATH Keywords

high dimensionalitycurse of dimensionalitydimensionality reductionfeature subset selection

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (16)

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Uses Software

• DistAl
• UCI-ml

Cites Work

• Using simulated annealing to optimize the feature selection problem in marketing applications
• Stochastic local search for the FEATURE SET problem, with applications to microarray data
• Theoretical and empirical analysis of ReliefF and RReliefF
• A formalism for relevance and its application in feature subset selection
• Exploration of a hybrid feature selection algorithm
• 10.1162/153244303322753616
• The elements of statistical learning. Data mining, inference, and prediction
• Backward sequential elimination for sparse vector subset selection
• Unnamed Item

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