Meta-evolutionary ensembles

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2791-2796

  Kim, Yong Seog ^a   Street, W Nick ^a   Menczer, Filippo ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION SYSTEMS;

FEATURE SELECTION; META EVOLUTIONARY ENSEMBLES;

LEARNING SYSTEMS;

EID: 0036082699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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3. Bias, variance, and arching classifiers
4. Stacked regression
5. Random forests-random features
6. Diversity versus quality in classification ensembles based on feature selection
7. Experiments with a new boosting algorithm
8. Genetic approach to feature selection for ensemble creation
9. C4.5 decision forests
10. The random subspace method for constructing decision forests
11. Feature selection for ensembles
12. Popular ensemble methods: An empirical study
13. A streaming ensemble algorithm (SEA) for large-scale classification