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Transduction (machine learning)

In logic, statistical inference, and supervised learning, transduction or transductive inference is reasoning from observed, specific (training) cases to specific (test) cases. In contrast, induction is reasoning from observed training cases to general rules, which are then applied to the test cases. The distinction is most interesting in cases where the…

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Transduction algorithms

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Transduction (machine learning)

Nodes21
Edges20
Triples0
Avg. degree1.9
Density0.095238
Components1

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learning transduction transductive algorithm example points test semi-supervised cases algorithms inference predictions training related labeled unlabeled labels model machine may

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