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Convex hulls in concept induction

Newlands, D. A. 1998, Convex hulls in concept induction, Ph.D. thesis, School of Computing and Mathematics, Deakin University.

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Title Convex hulls in concept induction
Author Newlands, D. A.
Institution Deakin University
School School of Computing and Mathematics
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 1998
Keyword(s) Machine learning - Mathematics
Induction (Mathematics)
Summary Classification learning is dominated by systems which induce large numbers of small axis-orthogonal decision surfaces. A convex hull based classifier, CH1, which can handle categorical and continuous data, has been implemented and tested. It exhibits superior performance to well-known axis-orthogonal-based classifiers when presented with domains where the underlying decision surfaces are not axis parallel.
Language eng
Description of original 203 leaves ; 30 cm.
Dewey Decimal Classification 006.33/0151
Persistent URL http://hdl.handle.net/10536/DRO/DU:30023428

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.