Ensemble feature selection: Homogeneous and heterogeneous approaches-Reference-Cited by-同舟云学术

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Ensemble feature selection: Homogeneous and heterogeneous approaches

Published:2017-02 Issue: Volume:118 Page:124-139
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Seijo-Pardo B.,Porto-Díaz I.,Bolón-Canedo V.,Alonso-Betanzos A.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference53 articles.

1. Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy;Kuncheva;Mach. Learn.,2003

2. Combining Pattern Classifiers: Methods and Algorithms;Kuncheva,2004

3. Principles of Data Mining;Bramer,2007

4. Efficient feature selection via analysis of relevance and redundancy;Yu;J. Mach. Learn. Res.,2004

5. Feature Extraction: Foundations and Applications;Guyon,2006

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