The Robustness of the p-Norm Algorithms.

We consider two on-line learning frameworks: binary classification through linear threshold functions and linear regression. We study a family of on-line algorithms, called p-norm algorithms, introduced by Grove, Littlestone and Schuurmans in the context of deterministic binary classification. We sh...

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发表在:	Machine learning. 53, 3 (2003).
主要作者:	Gentile, Claudio
格式:	文件
语言:	English
主题:	On-line learning. Loss bounds. Learning rate. Dual norms. On-line model selection.