Classifier ensemble methods in feature selection

Hakan Ezgi Kızılöz

doi:10.1016/j.neucom.2020.07.113

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JOURNAL ARTICLE

Classifier ensemble methods in feature selection

Hakan Ezgi Kızılöz

Year: 2020 Journal: Neurocomputing Vol: 419 Pages: 97-107 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.07.113

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Keywords:

Computer science Artificial intelligence Ensemble learning Classifier (UML) Feature selection AdaBoost Machine learning Naive Bayes classifier Random forest Random subspace method Support vector machine Decision tree Margin classifier Pattern recognition (psychology) Quadratic classifier Boosting (machine learning) Preprocessor Bayes classifier

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Topics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Classifier ensemble methods in feature selection

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Citation History

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