PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

DOI10.1007/s00180-016-0652-8zbMath1348.65044OpenAlexW2299903162MaRDI QIDQ333348

Sang-Woon Kim, Jiang-She Zhang, Chun-Xia Zhang

Publication date: 28 October 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-016-0652-8

zbMATH Keywords

genetic algorithmvariable selectionboostingensemble learningvariable rankingvariable selection ensemble

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04) Linear regression; mixed models (62J05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

A novel bagging approach for variable ranking and selection via a mixed importance measure ⋮ An update on statistical boosting in biomedicine ⋮ Pruning variable selection ensembles ⋮ PBoostGA

Uses Software

• AdaBoost.MH
• AdaBoost.RT
• RandGA

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