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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… 
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Related topics

Related topics

5 relations
Gaussian processMachine learningSequential minimal optimizationSoftware patents under United States patent law

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Relevance Vector Machine Based EEG Emotion Recognition
Personal emotions accompany us in our daily life, affecting our learning and work, therefore it is necessary to obtain better… 
2016
2016
Robust Reinforcement Learning with Relevance Vector Machines
Function approximation methods, such as neural networks, radial basis functions, and support vector machines, have been used in… 
2015
2015
Face recognition using Support Vector Machine and multiscale directional image representation methods: A comparative study
In recent years, human identification based on face recognition has attracted the attention of the scientific community and the… 
2012
2012
Recognition of human activities using a multiclass relevance vector machine
Abstract. We address the issue of human activity recognition by introducing the multiclass relevance vector machine (mRVM), the… 
2010
2010
Fault prognostic algorithm based on relevance vector machine regression
To solve a kind of fault prognostic problem,an algorithm based on relevance vector machine(RVM) regression is presented.The… 
2009
2009
Bus Travel Time Prediction Based on Relevance Vector Machine
Existing bus travel time prediction methods only provide a point prediction value of bus travel time. Relevance vector machine… 
2009
2009
Application of Facial Feature Localization Using Constrained Local Models in Template-Based Caricature Synthesis
A three-step method for quasi-frontal face caricature generation is presented in the paper. First a CLM (constrained local models… 
2006
2006
Scaling Text Classification with Relevance Vector Machines
Text classification (TC) is a complex ubiquitous task that handles a huge amount of data. Current research has recently proved… 
2005
2005
Selecting Shape Features Using Multi-class Relevance Vector Machine
The task of visual object recognition benefits from feature selection as it reduces the amount of computation in recognizing a… 
2004
2004
Relevance vector machine analysis of functional neuroimages
We propose the use of the relevance vector machine (RVM) regression framework for statistical analysis of PET or fMRI data sets… 
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