MULTIPLE CLASSIFIER SYSTEMS: ENSEMBLE DESIGN AND COMBINATION METHODS

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BAGHERI MOHAMMAD ALI; MONTAZER GHOLAMALI; KABIR EHSANOLAH

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Journal: SIGNAL AND DATA PROCESSING Year:2011 | Volume:- | Issue:2 (SERIAL 16) Page(s): 29-56

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Information Journal Paper

Title

MULTIPLE CLASSIFIER SYSTEMS: ENSEMBLE DESIGN AND COMBINATION METHODS

Author(s)

BAGHERI MOHAMMAD ALI | MONTAZER GHOLAMALI | KABIR EHSANOLAH | Issue Writer Certificate

Keywords

MULTIPLE CLASSIFIER SYSTEMSQ3

CLASSIFIER FUSIONQ2

ENSEMBLE DESIGNQ3

ENSEMBLE COMBINATION RULEQ3

DIVERSITYQ3

Abstract

An emerging technique to improve classification performance is to build several different classifiers, and then to combine them, known as MULTIPLE CLASSIFIER SYSTEMS or ensemble classification systems. The design process of an ensemble system generally involves two steps: the collection of an ensemble of classifiers and the design of the combination rule. Researchers in various fields including pattern recognition, machine learning and statistics have examined the use of ensemble systems. Nabavi-Kerizi and Kabir provided a review of ensemble classification, where combining techniques have been mainly considered. However, the trend of recent papers in this active field shows that the ensemble systems have focused on different ways to design the ensemble of classifiers. In this paper, first we aim to establish a framework for different approaches. Based on this architecture, each approach has been introduced in details. Combination methods are then described in brief. At the end, active research areas in the field of ensemble learning are presented.

Cites

FUSION OF NEURAL NETWORKS BASED ON NEGATIVE CORRELATION LEARNING FOR OFFLINE HANDWRITTEN WORD RECOGNITION

References

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APA: Copy

BAGHERI, MOHAMMAD ALI, MONTAZER, GHOLAMALI, & KABIR, EHSANOLAH. (2011). MULTIPLE CLASSIFIER SYSTEMS: ENSEMBLE DESIGN AND COMBINATION METHODS. SIGNAL AND DATA PROCESSING, -(2 (SERIAL 16)), 29-56. SID. https://sid.ir/paper/160683/en

Vancouver: Copy

BAGHERI MOHAMMAD ALI, MONTAZER GHOLAMALI, KABIR EHSANOLAH. MULTIPLE CLASSIFIER SYSTEMS: ENSEMBLE DESIGN AND COMBINATION METHODS. SIGNAL AND DATA PROCESSING[Internet]. 2011;-(2 (SERIAL 16)):29-56. Available from: https://sid.ir/paper/160683/en

IEEE: Copy

MOHAMMAD ALI BAGHERI, GHOLAMALI MONTAZER, and EHSANOLAH KABIR, “MULTIPLE CLASSIFIER SYSTEMS: ENSEMBLE DESIGN AND COMBINATION METHODS,” SIGNAL AND DATA PROCESSING, vol. -, no. 2 (SERIAL 16), pp. 29–56, 2011, [Online]. Available: https://sid.ir/paper/160683/en

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