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A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory

A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory

Yong Yang, Guoyin Wang
Copyright: © 2013 |Pages: 12
ISBN13: 9781466624764|ISBN10: 1466624760|EISBN13: 9781466624771
DOI: 10.4018/978-1-4666-2476-4.ch009
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MLA

Yang, Yong, and Guoyin Wang. "A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory." Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence, edited by Yingxu Wang, IGI Global, 2013, pp. 128-139. https://doi.org/10.4018/978-1-4666-2476-4.ch009

APA

Yang, Y. & Wang, G. (2013). A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory. In Y. Wang (Ed.), Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence (pp. 128-139). IGI Global. https://doi.org/10.4018/978-1-4666-2476-4.ch009

Chicago

Yang, Yong, and Guoyin Wang. "A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory." In Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence, edited by Yingxu Wang, 128-139. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2476-4.ch009

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Abstract

Emotion recognition is a very hot topic, which is related with computer science, psychology, artificial intelligence, etc. It is always performed on facial or audio information with classical method such as ANN, fuzzy set, SVM, HMM, etc. Ensemble learning theory is a novelty in machine learning and ensemble method is proved an effective pattern recognition method. In this paper, a novel ensemble learning method is proposed, which is based on selective ensemble feature selection and rough set theory. This method can meet the tradeoff between accuracy and diversity of base classifiers. Moreover, the proposed method is taken as an emotion recognition method and proved to be effective according to the simulation experiments.

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