A model of machine learning based on user preference of attributes

Authors:
Yiyu Yao;Yan Zhao;Jue Wang;Suqing Han
Affiliations:
Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada;Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada;Laboratory of Complex Systems and Intelligence Science Institute of Automation, Chinese Academy of Science, Beijing, China;Laboratory of Complex Systems and Intelligence Science Institute of Automation, Chinese Academy of Science, Beijing, China
Venue:
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Year:
2006

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Abstract

A formal model of machine learning by considering user preference of attributes is proposed in this paper. The model seamlessly combines internal information and external information. This model can be extended to user preference of attribute sets. By using the user preference of attribute sets, user preferred reducts can be constructed.