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A obvious
approach is to build a supervised
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classifier
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Train
on labeled examples (f1,f2,…,fi,…,fn, C)
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Test by
distilling features (f1,f2,…,fi,…,fn) = ?
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Training data
costly, need to use unlabeled data
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The feature sets
are largely orthogonal
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= Try co-training!
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