| Name : R-RMTL
| |
| Version : 0.9.9
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.1
| Date : 2024-06-28 11:15:14
|
| Group : Development/Libraries/Other
| Source RPM : R-RMTL-0.9.9-lp153.3.1.src.rpm
|
| Size : 0.57 MB
| |
| Packager : (none)
| |
| Summary : Regularized Multi-Task Learning
|
Description :
Efficient solvers for 10 regularized multi-task learning algorithms
applicable for regression, classification, joint feature selection,
task clustering, low-rank learning, sparse learning and network
incorporation. Based on the accelerated gradient descent method, the
algorithms feature a state-of-art computational complexity O(1/k^2).
Sparse model structure is induced by the solving the proximal operator.
The detail of the package is described in the paper of Han Cao and
Emanuel Schwarz (2018) < doi:10.1093/bioinformatics/bty831>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
