Adaptive Kernel Methods Using the Balancing Principle
نویسندگان
چکیده
منابع مشابه
Adaptive Kernel Methods Using the Balancing Principle
The regularization parameter choice is a fundamental problem in Learning Theory since the performance of most supervised algorithms crucially depends on the choice of one or more of such parameters. In particular a main theoretical issue regards the amount of prior knowledge needed to choose the regularization parameter in order to obtain good learning rates. In this paper we present a paramete...
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ژورنال
عنوان ژورنال: Foundations of Computational Mathematics
سال: 2010
ISSN: 1615-3375,1615-3383
DOI: 10.1007/s10208-010-9064-2