Multi-Objective Parameter Selection for Classifers
Setting the free parameters of classifiers to different values can have a profound impact on their performance. For some methods, specialized tuning algorithms have been developed. These approaches mostly tune parameters according to a single criterion, such as the cross-validation error. However, i...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2012-01-01
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Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | http://www.jstatsoft.org/v46/i05/paper |