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# An improved training algorithm for kernel Fisher discriminants

*Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics*, PMLR R3:209-215, 2001.

#### Abstract

We present a fast training algorithm for the kernel Fisher discriminant classifier. It uses a greedy approximation technique and has an empirical scaling behavior which improves upon the state of the art by more than an order of magnitude, thus rendering the kernel Fisher algorithm a viable option also for large datasets.