Difference between revisions of "Semi-supervised learning"

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This is a [[category::Method]] of machine learning, where a small set of labeled data is used to train a classifier which also makes use of a much larger set of unlabeled data. One popular version of semi-supervised learning is [http://en.wikipedia.org/wiki/Co-training co-training], introduced by Avrim Blum and Tom Mitchell in 1998.
  
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== Relevant Papers ==
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{{#ask: [[UsesMethod::Semi-supervised learning]]
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Latest revision as of 10:22, 3 October 2012

This is a Method of machine learning, where a small set of labeled data is used to train a classifier which also makes use of a much larger set of unlabeled data. One popular version of semi-supervised learning is co-training, introduced by Avrim Blum and Tom Mitchell in 1998.

Relevant Papers