Performance comparison of support vector machine and relevance vector machine classifiers for functional MRI data

Performance comparison of support vector machine and relevance vector machine classifiers for functional MRI data

Multivariate pattern analysis (MVPA) of fMRI data has been growing in popularity due to its sensitivity to networks of brain activation. It is performed in a predictive modeling framework which is natural for implementing brain state prediction and real-time fMRI applications such as brain computer...

Full description

Bibliographic Details
Main Author: Perez, Daniel Antonio
Published: Georgia Institute of Technology 2010
Subjects:
Pattern recognition
Support vector machines
Relevance vector machines
Machine learning
FMRI
Diagnostic imaging
Magnetic resonance imaging
Imaging systems in medicine
Supervised learning (Machine learning)
Online Access:http://hdl.handle.net/1853/34858

Internet

http://hdl.handle.net/1853/34858

Similar Items