A novel piecewise linear classifier based on polyhedral conic and max-min separabilities

Bagirov, Adil M., Ugon, Julien, Webb, Dean, Ozturk, Gurkan and Kasimbeyli, Refail 2013, A novel piecewise linear classifier based on polyhedral conic and max-min separabilities, TOP, vol. 21, no. 1, pp. 3-24, doi: 10.1007/s11750-011-0241-5.

Attached Files
Name Description MIMEType Size Downloads

Title A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
Author(s) Bagirov, Adil M.
Ugon, JulienORCID iD for Ugon, Julien orcid.org/0000-0001-5290-8051
Webb, Dean
Ozturk, Gurkan
Kasimbeyli, Refail
Journal name TOP
Volume number 21
Issue number 1
Start page 3
End page 24
Total pages 22
Publisher Springer
Place of publication New York, N.Y.
Publication date 2013-04
ISSN 1134-5764
1863-8279
Keyword(s) Science & Technology
Technology
Operations Research & Management Science
Nonsmooth optimization
Piecewise linear separability
Data mining
Supervised learning
Piecewise linear classifiers
MINIMIZATION
DESIGN
Language eng
DOI 10.1007/s11750-011-0241-5
Field of Research 0102 Applied Mathematics
0103 Numerical And Computational Mathematics
Copyright notice ©2011, Sociedad de Estadística e Investigación Operativa
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112797

Document type: Journal Article
Collections: School of Information Technology
Elements - New records (hidden)
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 12 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 4 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Fri, 24 Aug 2018, 14:32:30 EST

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.