Regularization parameter selection for a bayesian group sparse multi-task regression model with application to imaging genomics.
Farouk S. NathooKeelin GreenlawMary LesperancePublished in: PRNI (2016)
Keyphrases
- regression model
- group lasso
- multi task
- regularization parameter
- multi task learning
- model selection
- gaussian processes
- sparse learning
- image processing
- gaussian process
- cross validation
- image restoration
- variable selection
- hyperparameters
- learning tasks
- regularization term
- transfer learning
- high dimensional
- elastic net
- data sets