Distributed optimization of multi-class SVMs
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DOI: 10.1371/journal.pone.0178161
Abstract: Training of one-vs.-rest SVMs can be parallelized over the number of classes in a straight forward way. Given enough computational resources, one-vs.-rest SVMs can thus be trained on data involving a large number of classes.… read more here.
Keywords: svms; one rest; number classes; distributed optimization ... See more keywords