Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2004, Pages 208-211

  Tremblay, Guillaume ^a   Sabourin, Robert ^a   Maupin, Patrick ^b  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ENSEMBLES; PROTOTYPES; STOCHASTIC SEARCH; SUBSPACES;

DATABASE SYSTEMS; ERROR ANALYSIS; GENETIC ALGORITHMS; OPTIMIZATION; PATTERN RECOGNITION;

RANDOM PROCESSES;

EID: 10044289194     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334060     Document Type: Conference Paper

References (5)

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2. D. Ruta, B. Gabrys, A Theorical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems, Pattern Analysis & Applications, vol. 5, 2002, pp. 333-350
3. nd Int'l Workshop on Statistical Techniques in Pattern Recognition, Sydney, Australia, August 1998, pp. 640-648
4. G. Zenobi, P. Cunningham, Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error, ECML, Springer Verlag, 2001, pp. 576-587
5. L. I. Kuncheva, C. J. Whitaker, Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy, Machine Learning, vol. 51, 2003, pp. 181-207