Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso.
Kin Ming PukWei XiangShouyi WangCao (Danica) XiaoW. Art ChaovalitwongseTara M. MadhyasthaThomas J. GrabowskiPublished in: BI (2018)
Keyphrases
- group lasso
- topological features
- regression model
- variable selection
- functional connectivity
- efficient optimization
- multi label learning
- low rank
- multi task
- contingency tables
- computational model
- convex optimization
- regularization term
- multiple kernel learning
- dynamic environments
- model selection
- least squares
- feature extraction