Efficient cross-validation of the complete two stages in KFD classifier formulation An, Senjian, Liu, Wanquan and Venkatesh, Svetha 2006, Efficient cross-validation of the complete two stages in KFD classifier formulation, in ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, IEEE, Washington, D. C., pp. 240-244. Attached Files Name Description MIMEType Size Downloads venkatesh-efficientcross-2006.pdf Published version application/pdf 139.07KB 135 Title Efficient cross-validation of the complete two stages in KFD classifier formulation Author(s) An, Senjian Liu, Wanquan Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name International Conference on Pattern Recognition (18th : 2006 : Hong Kong, China) Conference location Hong Kong, China Conference dates 20-24 Aug. 2006 Title of proceedings ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition Editor(s) [Unknown] Publication date 2006 Conference series International Conference on Pattern Recognition Start page 240 End page 244 Total pages 5 Publisher IEEE Place of publication Washington, D. C. Keyword(s) computational complexity computer simulation data acquisition data reduction mathematical models Summary This paper presents an efficient evaluation algorithm for cross-validating the two-stage approach of KFD classifiers. The proposed algorithm is of the same complexity level as the existing indirect efficient cross-validation methods but it is more reliable since it is direct and constitutes exact cross-validation for the KFD classifier formulation. Simulations demonstrate that the proposed algorithm is almost as fast as the existing fast indirect evaluation algorithm and the twostage cross-validation selects better models on most of the thirteen benchmark data sets. Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 0769525210 9780769525211 ISSN 1051-4651 Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2006, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30044602 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Fri, 20 Apr 2012, 11:34:43 EST Fri, 27 Apr 2012, 13:28:14 EST Fri, 27 Apr 2012, 13:29:44 EST Thu, 03 May 2012, 11:31:26 EST Tue, 06 Sep 2016, 18:45:14 EST Sat, 21 Oct 2017, 02:01:19 EST Tue, 05 Dec 2017, 12:31:30 EST Fri, 07 Sep 2018, 15:52:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 520 Abstract Views, 135 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:34:43 EST

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