Relevance Vector Machine

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Relevance Vector Machine (RVMs) is a machine learning technique that uses Bayesian theory to obtain sparse solutions for regression and classification. The RVM has an identical functional form to the Support Vector Machine, but provides probabilistic classification.

[edit] External links

• The Relevance Vector Machine Tipping's article on the relevance vector machine.

Retrieved from "http://en.wikipedia.org../../../r/e/l/Relevance_Vector_Machine_8ded.html"

Categories: Classification algorithms | Ensemble learning | Machine learning

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• This page was last modified 02:36, 30 December 2006 by Wikipedia user Barticus88. Based on work by Wikipedia user(s) Ahaupt@gmail.com, Bluebot and Alinutzal.
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