Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
regularization technique |
| gptkbp:appliesTo |
gptkb:signal_processing
genomics neuroimaging |
| gptkbp:citation |
Meier, L., van de Geer, S., & Bühlmann, P. (2008). The group lasso for logistic regression. Journal of the Royal Statistical Society: Series B, 70(1), 53-71.
|
| gptkbp:extendsTo |
gptkb:LASSO
|
| gptkbp:generalizes |
LASSO when each group has one variable
|
| https://www.w3.org/2000/01/rdf-schema#label |
group LASSO
|
| gptkbp:introduced |
Meier, van de Geer, and Bühlmann
|
| gptkbp:introducedIn |
2008
|
| gptkbp:objective |
least squares with group-wise L2 penalty
|
| gptkbp:penalty |
groups of coefficients
|
| gptkbp:promotion |
group sparsity
|
| gptkbp:relatedTo |
sparse modeling
regularized regression |
| gptkbp:solvedBy |
convex optimization
|
| gptkbp:usedFor |
feature selection
variable selection |
| gptkbp:usedIn |
gptkb:machine_learning
statistics |
| gptkbp:bfsParent |
gptkb:Least_Absolute_Shrinkage_and_Selection_Operator
|
| gptkbp:bfsLayer |
7
|