Multi-borders classification
Published in arXiv (Cornell University) • Apr 15, 2014
NobleIDNI7P66W75R23S53
Authors:
Peter Mills
Abstract
The number of possible methods of generalizing binary classification to multi-class classification increases exponentially with the number of class labels. Often, the best method of doing so will be highly problem dependent. Here we present classification software in which the partitioning of multi-...
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