venkatesh-efficientcross-2006.pdf (139.08 kB)
Efficient cross-validation of the complete two stages in KFD classifier formulation
conference contribution
posted on 2006-01-01, 00:00 authored by S An, W Liu, Svetha VenkateshSvetha VenkateshThis 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.
History
Event
International Conference on Pattern Recognition (18th : 2006 : Hong Kong, China)Pagination
240 - 244Publisher
IEEELocation
Hong Kong, ChinaPlace of publication
Washington, D. C.Start date
2006-08-20End date
2006-08-24ISSN
1051-4651ISBN-13
9780769525211ISBN-10
0769525210Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
2006, IEEETitle of proceedings
ICPR 2006 : Proceedings of the 18th International Conference on Pattern RecognitionUsage metrics
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