Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.
Jialin PengXiaofeng ZhuYe WangLe AnDinggang ShenPublished in: Pattern Recognit. (2019)
Keyphrases
- disease diagnosis
- structured sparsity
- multiple kernel learning
- group lasso
- learning problems
- linear combination
- kernel methods
- convex relaxation
- multi task
- least squares
- regularization methods
- kernel function
- binary classification
- semi supervised learning
- regression model
- feature selection
- learning models
- computer aided diagnosis
- variable selection
- multiple features
- image processing
- low rank
- convex optimization
- learning tasks
- multi class
- knn
- contingency tables
- multi label learning
- active learning
- pairwise
- data mining