Relevance vector machine

Known as: RVM 
In mathematics, a Relevance Vector Machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for… (More)
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Highly Cited
2011
Highly Cited
2011
The curse of dimensionality is the main reason for the computational complexity and the Hughes phenomenon in supervised… (More)
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Highly Cited
2009
Highly Cited
2009
a Mechanical Engineering Department, Diponegoro University, Jl. Prof. Sudarto Tembalang, Semarang 50275, Indonesia b CRC for… (More)
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Highly Cited
2007
Highly Cited
2007
This letter presents a hyperspectral image classification method based on relevance vector machines (RVMs). Support vector… (More)
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2007
2007
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from… (More)
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2005
2005
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for… (More)
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2004
2004
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization… (More)
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Highly Cited
2001
Highly Cited
2001
This paper introduces a general Bayesian framework for obtaining sparse solutions to regression and classi­ cation tasks… (More)
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Highly Cited
2001
Highly Cited
2001
 
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Highly Cited
2000
Highly Cited
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern… (More)
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Highly Cited
1999
Highly Cited
1999
The support vector machine (SVM) is a state-of-the-art technique for regression and classification, combining excellent… (More)
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