A Bayesian group sparse multi-task regression model for imaging genetics.
Keelin GreenlawElena SzeferJinko GrahamMary LesperanceFarouk S. NathooPublished in: Bioinform. (2017)
Keyphrases
- regression model
- group lasso
- multi task
- structured sparse learning
- sparse learning
- generalized linear models
- gaussian processes
- structured sparsity
- multi task learning
- gaussian process
- learning tasks
- relevance vector machine
- model selection
- regression analysis
- regression methods
- support vector regression
- multi class
- elastic net
- maximum likelihood
- variable selection
- learning problems
- sparsity inducing
- sparse representation
- multiple kernel learning
- regression method
- supervised learning
- efficient optimization
- feature selection
- learning algorithm
- linear regression
- training set
- learning process
- probabilistic model
- transfer learning
- machine learning