Multi-kernel regularized classifiers
نویسندگان
چکیده
منابع مشابه
Multi-kernel regularized classifiers
A family of classification algorithms generated from Tikhonov regularization schemes are considered. They involve multi-kernel spaces and general convex loss functions. Our main purpose is to provide satisfactory estimates for the excess misclassification error of these multi-kernel regularized classifiers. The error analysis consists of two parts: regularization error and sample error. Allowin...
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ژورنال
عنوان ژورنال: Journal of Complexity
سال: 2007
ISSN: 0885-064X
DOI: 10.1016/j.jco.2006.06.007