Adaptive Kernel Methods Using the Balancing Principle
The regularization parameter choice is a fundamental problem in supervised learning since the performance of most 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 on the problem needed to suitab...
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2008
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| Online Access: | http://hdl.handle.net/1721.1/42896 |