Voted Perceptron Model

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A Voted Perceptron Model is a Perceptron Model that is used for linear classification by combining Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method.



References

2015

2008

  1. Herbrich describes an optimized verson of the algorithm of the kernel perceptron (Herbrich, 2002, page 322). We can us the same techique in training of the kernel version of the voted perceptron.

1999