An oracle inequality for regularized risk minimizers with strongly mixing observations

Abstract

We establish a general oracle inequality for regularized risk minimizers with strongly mixing observations, and apply this inequality to support vector machine (SVM) type algorithms. The obtained main results extend the previous known results for independent and identically distributed samples to the case of exponentially strongly mixing observations.

Keywords

Oracle inequality / exponentially strongly mixing / regularized risk minimizer

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