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Title: Preference learning for affective modeling
Authors: Yannakakis, Georgios N.
Keywords: Human behavior models
Machine learning
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Yannakakis, G. N. (2009). Preference learning for affective modelling. 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, Amsterdam.
Abstract: There is an increasing trend towards personalization of services and interaction. The use of computational models for learning to predict user emotional preferences is of significant importance towards system personalization. Preference learning is a machine learning research area that aids in the process of exploiting a set of specific features of an individual in an attempt to predict her preferences. This paper outlines the use of preference learning for modeling emotional preferences and shows the methodology's promise for constructing accurate computational models of affect.
Appears in Collections:Scholarly Works - InsDG

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