venkatesh-efficientcross-2006.pdf (139.08 kB)
Efficient cross-validation of the complete two stages in KFD classifier formulation
conference contributionposted on 2006-01-01, 00:00 authored by S An, W Liu, Svetha VenkateshSvetha Venkatesh
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.
EventInternational Conference on Pattern Recognition (18th : 2006 : Hong Kong, China)
Pagination240 - 244
LocationHong Kong, China
Place of publicationWashington, D. C.
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Publication classificationE1.1 Full written paper - refereed
Copyright notice2006, IEEE
Title of proceedingsICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition
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