USING MULTIPLE CLASSIFIER SYSTEM FOR DIAGNOSIS OF ENDOMETRIOSIS: AN ENSEMBLE SUBSPACE APPROACH

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AKHOUND MOHAMMAD REZA; BAGHERI MOHAMMAD ALI; MOUSAVI ALI; MOINI ASHRAF

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Journal: ADVANCES IN MATHEMATICAL MODELING Year:2013 | Volume:2 | Issue:2 Page(s): 89-107

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Information Journal Paper

Title

USING MULTIPLE CLASSIFIER SYSTEM FOR DIAGNOSIS OF ENDOMETRIOSIS: AN ENSEMBLE SUBSPACE APPROACH

Author(s)

AKHOUND MOHAMMAD REZA | BAGHERI MOHAMMAD ALI | MOUSAVI ALI | MOINI ASHRAF | Issue Writer Certificate

Keywords

PREDICTIONQ2

MULTIPLE CLASSIFIER SYSTEMSQ3

ENDOMETRIOSIS DIAGNOSISQ3

RANDOM SUBSPACE APPROACHQ3

Abstract

One efficient approach in classification is using a set of individual classifiers and then combining their outputs, usually knows as ensemble classification or multiple classifier system. In this paper, an ensemble classification system based on the RANDOM SUBSPACE APPROACH is employed for diagnosis of endometriosis, in which individual classifiers of the ensemble system are trained with different feature subsets. Finally, for classifying an unknown test sample, classifiers’ outputs are fused using the majority voting combination rule.

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APA: Copy

AKHOUND, MOHAMMAD REZA, BAGHERI, MOHAMMAD ALI, MOUSAVI, ALI, & MOINI, ASHRAF. (2013). USING MULTIPLE CLASSIFIER SYSTEM FOR DIAGNOSIS OF ENDOMETRIOSIS: AN ENSEMBLE SUBSPACE APPROACH. ADVANCES IN MATHEMATICAL MODELING, 2(2), 89-107. SID. https://sid.ir/paper/243886/en

Vancouver: Copy

AKHOUND MOHAMMAD REZA, BAGHERI MOHAMMAD ALI, MOUSAVI ALI, MOINI ASHRAF. USING MULTIPLE CLASSIFIER SYSTEM FOR DIAGNOSIS OF ENDOMETRIOSIS: AN ENSEMBLE SUBSPACE APPROACH. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2013;2(2):89-107. Available from: https://sid.ir/paper/243886/en

IEEE: Copy

MOHAMMAD REZA AKHOUND, MOHAMMAD ALI BAGHERI, ALI MOUSAVI, and ASHRAF MOINI, “USING MULTIPLE CLASSIFIER SYSTEM FOR DIAGNOSIS OF ENDOMETRIOSIS: AN ENSEMBLE SUBSPACE APPROACH,” ADVANCES IN MATHEMATICAL MODELING, vol. 2, no. 2, pp. 89–107, 2013, [Online]. Available: https://sid.ir/paper/243886/en

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