"Fully Bayesian analysis of the relevance vector machine

This letter presents a hyperspectral image classification method based on relevance vector machines (RVMs).

Automatic relevance determination for least squares support vector machine classifiers.Support vector machines. Here is some Matlab code which fits a support vector machine given the matrix of dot products of data points.

Relevance vector machine and fuzzy system based multi

CiteSeerX - Scientific documents that cite the following paper: Sparse bayesian learning and the relevance vector machine.

Relevance vector machine for automatic detection of

In this paper, we propose the use of a recently developed machine-learning technique - relevance vector machine.

Generalized relevance learning vector quantization. generalized relevance LVQ. M. TippingThe relevance vector machine. S.A. Solla,.Elsevier,Accessed from.CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We propose a new scheme for enlarging generalized learning vector quantization (GLVQ.Generalized relevance learning vector quantization. Authors:.

Hyperspectral Image Classification Using Relevance Vector

Channelized Relevance Vector Machine as a Numerical Observer for Cardiac Perfusion Defect Detection Task Mahdi M.

Tipping Microsoft Research. performance of the support vector machine.

Support vector machines - Carnegie Mellon School of

Channelized Relevance Vector Machine as a Numerical

Both ways of treating priors, however, lead to the same relevance vector machine.

Sparse bayesian learning and the relevance vector machine

Official Full-Text Paper (PDF): On Kernel Selection in Relevance Vector Machines Using Stability Principle.