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Volume Regularization for Binary Classification
Published on Jan 14, 20133258 Views
We introduce a large-volume box classification for binary prediction, which maintains a subset of weight vectors, and specifically axis-aligned boxes. Our learning algorithm seeks for a box of large v
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Chapter list
Volume Regularization for Binary Classification00:00
Results on binary 30 NLP datasets00:00
Number of wins of BoW vs SVM on all 45 pairs of USPS data-set00:34
Empirical Risk Minimization with Regularization01:15