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Multiclass Probabilistic Classification for Support Vector Machines

Authors
Bae, Ji-SangKim, Jong-Ok
Issue Date
6월-2015
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Keywords
multiclass classification; probabilistic classification; SVM; age-group classification
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E98D, no.6, pp.1251 - 1255
Indexed
SCIE
SCOPUS
Journal Title
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume
E98D
Number
6
Start Page
1251
End Page
1255
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/93416
DOI
10.1587/transinf.2014EDL8167
ISSN
1745-1361
Abstract
Support Vector Machine (SVM) is one of the most widely used classifiers to categorize observations. This classifier deterministically selects a class that has the largest score for a classification output. In this letter, we propose a multiclass probabilistic classification method that reflects the degree of confidence. We apply the proposed method to age group classification and verify the performance.
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공과대학 (전기전자공학부)
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