Relevance vector machine
id:
relevance-vector-machine-292-16543448
title:
Relevance vector machine
text:
In mathematics, a Relevance Vector Machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression and probabilistic classification.
The RVM has an identical functional form to the support vector machine, but provides probabilistic classification. It is actually equivalent to a Gaussian process model with covariance function: where φ is the kernel function, α j are the variances of the prior on the weight vector w ∼ N , and x 1 , … , x N
brand slug:
wiki
category slug:
encyclopedia
description:
Machine learning technique
original url:
https://en.wikipedia.org/wiki/Relevance_vector_machine
date created:
date modified:
2022-02-16T20:27:37Z
main entity:
{"identifier":"Q7310972","url":"https://www.wikidata.org/entity/Q7310972"}
image:
fields total:
13
integrity:
14