Using conditional maximization to determine hyperparameters in model-based fMRI.
Paul F. RodriguezPublished in: NeuroImage (2010)
Keyphrases
- hyperparameters
- model selection
- bayesian framework
- cross validation
- bayesian inference
- closed form
- maximum likelihood
- prior information
- random sampling
- gaussian process
- support vector
- gaussian processes
- sample size
- maximum a posteriori
- em algorithm
- regularization parameter
- noise level
- incremental learning
- machine learning
- incomplete data
- missing values
- parameter space
- objective function
- bayesian networks
- data sets
- grid search