상세 보기
Multiclass Probabilistic Classification for Support Vector Machines
- Bae, Ji-Sang;
- Kim, Jong-Ok
Citations
WEB OF SCIENCE
2Citations
SCOPUS
2초록
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
- 발행일
- 2015-06
- 유형
- Article
- 권
- E98D
- 호
- 6
- 페이지
- 1251 ~ 1255
- 언어
- ENG
- 출판사
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- 발행국가
- 일본
- 분량
- 5 페이지
- ISSN
- P 1745-1361