Catalogue of Artificial Intelligence Techniques


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Aliases: Transductive Learning

Keywords: classification, learning, transduction

Categories: Learning

Author(s): Oliver Wilson

Unlike inductive learning, where the aim is to find a general function f that maps inputs x to some output classes y that should be accurate for any future test set, transduction aims to predict classes for a specific test set. It does this by drawing conclusions directly from the training data as opposed to producing a general model and then applying it.

The technique is useful in areas where unlabeled data is relatively cheap/easy to come by and labeled data is very costly (for instance, it must be manually classified by a human). Transductive learning is closely related to semi-supervised learning. Transductive learning was first developed in the 90's by Vladimir Vapnik.



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