Overfitting in the selection of classifier ensembles: A comparative study between PSO and GA

GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

Volumn , Issue , 2008, Pages 1423-1424

  Dos Santos, Eulanda M ^a   Sabourin, Robert ^a   Oliveira, Luiz S ^b   Maupin, Patrick ^c  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^c DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

Classifier ensembles selection; GA; Overfitting; PSO

Indexed keywords

CLASSIFIERS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; LEARNING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO);

CLASSIFIER ENSEMBLES; CLASSIFIER ENSEMBLES SELECTION; COMPARATIVE STUDIES; GA; LEARNING TASKS; OBJECTIVE FUNCTIONS; OVERFITTING; PARTICLE SWARMS; PSO; SEARCH ALGORITHMS; SELECTION PROCESSES;

LEARNING ALGORITHMS;

EID: 57349185591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. L. Oliveira, R. Sabourin, F. Bortolozzi, and C. Suen. Automatic recognition of handwritten numerical strings: A recognition and verification strategy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(11):1438-1454, 2002.
2. P. Radtke, R. Sabourin, and T. Wong. Impact of solution over-fit on evolutionary multi-objective optimization for classification systems. In Proceedings of the IEEE International Joint Conference on Neural Network, Vancouver, Canada, 2006.
3. J. Reunanen. Overfitting in making comparisons between variable selection methods. Journal of Machine Learning Research, 3:1371-1382, 2003.