Greedy optimization classifiers ensemble based on diversity

DOI10.1016/j.patcog.2010.11.007zbMath1209.68419OpenAlexW1985414995MaRDI QIDQ632627

Shuiping Gou, Lin Xiong, Shasha Mao, Li-Cheng Jiao

Publication date: 25 March 2011

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.11.007

zbMATH Keywords

residualdiversitymatching pursuitgreedy optimizationkappa-error diagramselective ensemble

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

FUSION OF EXTREME LEARNING MACHINE WITH FUZZY INTEGRAL ⋮ Weighted classifier ensemble based on quadratic form ⋮ RandGA: injecting randomness into parallel genetic algorithm for variable selection

Uses Software

• UCI-ml
• AdaBoost.MH
• C4.5

Cites Work

• Bagging predictors
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Input decimated ensembles
• Ensembling neural networks: Many could be better than all
• A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors
• Fusion of color spaces for ear authentication
• Kernel matching pursuit classifier ensemble
• An approach to the automatic design of multiple classifier systems
• Membership authentication in the dynamic group by face classification using SVM ensemble
• Combining Pattern Classifiers
• Matching pursuits with time-frequency dictionaries
• An algorithm for information structuring and retrieval
• Random forests
• Kernel matching pursuit
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Greedy optimization classifiers ensemble based on diversity