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Enclosing Machine Learning

Wei Xunkai (xunkai.wei***at***gmail.com)
Li Yinghong (yinghong_li***at***126.com)
Li Yufei (horizon_lyf***at***hotmail.com)

Abstract: This report introduces a new machine learning paradigm called enclosing machine learning for data mining. This novel method utilizes the virtues of human being's cognition process and tries to imitate the two basic principles of cognition process from a macroscopical view, which are cognizing things of the same kind, recognizing things of a new kind without changing existed knowledge. This report mainly focuses on concept definition, mathematical modeling, and current progresses in pattern classification, classifier design.

Keywords: Cognitive Learning, Minimum Volume Enclosing Shapes, Pattern Description, Pattern Classification, Machine Learning, Data Mining

Category 1: Applications -- Science and Engineering (Data-Mining )

Citation: TR-2007-1001, School of Engineering, University of Air Force Engineering, Xian 710038, China,10/07

Download: [PDF]

Entry Submitted: 10/20/2007
Entry Accepted: 10/21/2007
Entry Last Modified: 10/30/2007

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