Learning with Limited Supervision by Input and Output Coding
In many real-world applications of supervised learning, only a limited number of labeled examples are available because the cost of obtaining high-quality examples is high. Even with a relatively large number of labeled examples, the learning problem may still suffer from limited supervision as the...
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| Format: | Others |
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Research Showcase @ CMU
2012
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| Online Access: | http://repository.cmu.edu/dissertations/156 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1163&context=dissertations |