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GA-optimized Support Vector Regression for an Improved Emotional State Estimation Model
저자
안현철, Seongjin Kim, 김재경
학술지명
KSII Transactions on Internet and Information Systems
출판/발행연도
2014
주제
요약
본 연구는 사용자의 감정 상태를 정확하게 추정하기 위해 유전 알고리즘으로 최적화된 새로운 서포트 벡터 회귀(GASVR) 모델을 제안합니다. GASVR은 SVR의 커널 파라미터와 특징 부분 집합을 최적화하여 valence와 arousal 수준을 예측하며, 실제 얼굴 반응 및 감정 상태 데이터셋을 활용한 실험 결과 기존 알고리즘보다 우수한 성능을 보였습니다.
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