Breaking the curse of kernelization

WangZhuang, CrammerKoby, VuceticSlobodan

Journal of Machine Learning Research · 2012 · 14 citations · 0 references

Concepts

Abstract

Online algorithms that process one example at a time are advantageous when dealing with very large data or with data streams. Stochastic Gradient Descent (SGD) is such an algorithm and it is an att...