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In multi-view learning, a classifier for different partitions (views) of the feature vector is commonly sought after. We consider the special case of surrogate supervision multi-view learning in which a classifier for one view is sought after, however, no labeled examples are available for that view. Instead, the training set consists of only labeled examples for the other view as well as unlabeled...
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