Ensemble component selection for improving ICA based microarray data prediction models

DOI10.1016/J.PATCOG.2009.01.021zbMath1189.68115OpenAlexW2041424478MaRDI QIDQ1015183

J. Martínez

Publication date: 7 May 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.01.021

zbMATH Keywords

independent component analysismulti-objective genetic algorithmmicroarray datamultiple classifier systemensemble component selectionglobal-recording technique

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

Bagging constraint score for feature selection with pairwise constraints

Cites Work

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• Ensembling neural networks: Many could be better than all
• Multi-objective machine learning
• Classification by evolutionary ensembles
• Improvements on Cross-Validation: The .632+ Bootstrap Method
• Combining Pattern Classifiers

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