Efficient cross-validation of the complete two stages in KFD classifier formulation
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2006
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Resumo |
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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044602/venkatesh-efficientcross-2006.pdf http://hdl.handle.net/10.1109/ICPR.2006.473 |
Direitos |
2006, IEEE |
Palavras-Chave | #computational complexity #computer simulation #data acquisition #data reduction #mathematical models |
Tipo |
Conference Paper |