Editing Transduction (machine learning) (section)

== Applications and related concepts ==
Transduction is closely related to:

* '''Semi-supervised learning''' – uses both labeled and unlabeled data but typically induces a model.
* '''Case-based reasoning''' – such as the '''k-nearest neighbor (k-NN)''' algorithm, often considered a transductive method.
* '''Transductive Support Vector Machines (TSVM)''' – extend standard SVMs to incorporate unlabeled test data during training.
* '''Bayesian Committee Machine (BCM)''' – an approximation method that makes transductive predictions when exact inference is too costly.