Stream-suitable optimization algorithms for some soft-margin support vector machine variants

Soft-margin support vector machines (SVMs) are an important class of classification models that are well known to be highly accurate in a variety of settings and over many applications. The training of SVMs usually requires that the data be available all at once, in batch. The Stochastic majorizatio...

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