Introduction
• Supervised learning:
• E.g.
: image,
: class labels
• Semi-supervised learning:
,
• A set of unlabeled data, usually U >> R
• Transductive learning: unlabeled data is the testing data
• Inductive learning: unlabeled data is not the testing data
• Why semi-supervised learning?
• Collecting data is easy, but collecting “labelled” data is
expensive
• We do semi-supervised learning in our lives
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