Multiclass Probabilistic Classification for Support Vector Machines

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초록

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.

키워드

multiclass classification; probabilistic classification; SVM; age-group classification
제목
Multiclass Probabilistic Classification for Support Vector Machines
저자
Bae, Ji-Sang; Kim, Jong-Ok
DOI
10.1587/transinf.2014EDL8167
발행일
2015-06
유형
Article
저널명
IEICE Transactions on Information and Systems
권
E98D
호
6
페이지
1251 ~ 1255