CLASSIFIER COMBINATION: DIVERSITY CREATION AND COMBINATION METHODS

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KABIR E.; NABAVI KERIZI S.H.

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Paper Information

Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2005 | Volume:3 | Issue:3 (A) Page(s): 95-107

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Title

CLASSIFIER COMBINATION: DIVERSITY CREATION AND COMBINATION METHODS

Author(s)

KABIR E. | NABAVI KERIZI S.H. | Issue Writer Certificate

Keywords

ENSEMBLE SYSTEMQ4

BASE CLASSIFIERSQ4

COMBINATION METHODSQ4

DIVERSITYQ3

DECISION FUSIONQ4

Abstract

The combination of multiple classifiers is shown to be suitable for improving the performance of pattern recognition systems. The theoretical and experimental results in the literature clearly show that combining multiple classifiers is only effective if the individual classifiers are accurate and diverse. Selecting a suitable combination method and the DIVERSITY of an ensemble of classifiers are known to be important key issues in constructing a good ENSEMBLE SYSTEM. The combination method should be selected so that the classifiers complement each other. In this paper we review DIVERSITY creation methods including implicit and explicit methods. Also a review on COMBINATION METHODS is presented that covers the following rules: maximum, minimum, mean, product, voting, Bayesian, fuzzy integral, decision template and Dempster-Shafer.

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APA: Copy

KABIR, E., & NABAVI KERIZI, S.H.. (2005). CLASSIFIER COMBINATION: DIVERSITY CREATION AND COMBINATION METHODS. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 3(3 (A)), 95-107. SID. https://sid.ir/paper/70674/en

Vancouver: Copy

KABIR E., NABAVI KERIZI S.H.. CLASSIFIER COMBINATION: DIVERSITY CREATION AND COMBINATION METHODS. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2005;3(3 (A)):95-107. Available from: https://sid.ir/paper/70674/en

IEEE: Copy

E. KABIR, and S.H. NABAVI KERIZI, “CLASSIFIER COMBINATION: DIVERSITY CREATION AND COMBINATION METHODS,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 3, no. 3 (A), pp. 95–107, 2005, [Online]. Available: https://sid.ir/paper/70674/en

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