Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data.
Giancarlo ValenteFederico De MartinoFabrizio EspositoRainer GoebelElia FormisanoPublished in: NeuroImage (2011)
Keyphrases
- virtual world
- relevance vector machine
- gaussian processes
- sparse bayesian learning
- bayesian learning
- nonlinear regression
- support vector machine
- immersive environments
- virtual environment
- physical world
- data sets
- support vector regression
- linear regression
- model selection
- crf model
- virtual space
- least squares
- multi class
- training data