| Name : R-rgnoisefilt
| |
| Version : 1.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.2
| Date : 2024-06-14 12:09:42
|
| Group : Development/Libraries/Other
| Source RPM : R-rgnoisefilt-1.1.2-lp153.3.2.src.rpm
|
| Size : 0.36 MB
| |
| Packager : (none)
| |
| Summary : Elimination of Noisy Samples in Regression Datasets using Noise Filters
|
Description :
Traditional noise filtering methods aim at removing noisy samples from
a classification dataset. This package adapts classic and recent
filtering techniques for use in regression problems, and it also
incorporates methods specifically designed for regression data. In
order to do this, it uses approaches proposed in the specialized
literature, such as Martin et al. (2021)
[< doi:10.1109/ACCESS.2021.3123151>] and Arnaiz-Gonzalez et al. (2016)
[< doi:10.1016/j.eswa.2015.12.046>]. Thus, the goal of the implemented
noise filters is to eliminate samples with noise in regression
datasets.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
