| Name : R-DMTL
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.25.1
| Date : 2024-07-04 13:27:06
|
| Group : Development/Libraries/Other
| Source RPM : R-DMTL-0.1.2-lp155.25.1.src.rpm
|
| Size : 0.06 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Tools for Applying Distribution Mapping Based Transfer Learning
|
Description :
Implementation of a transfer learning framework employing distribution
mapping based domain transfer. Uses the renowned concept of histogram
matching (see Gonzalez and Fittes (1977)
< doi:10.1016/0094-114X(77)90062-3>, Gonzalez and Woods (2008)
< isbn:9780131687288>) and extends it to include distribution measures
like kernel density estimates (KDE; see Wand and Jones (1995)
< isbn:978-0-412-55270-0>, Jones et al. (1996) < doi:10.2307/2291420). In
the typical application scenario, one can use the underlying sample
distributions (histogram or KDE) to generate a map between two distinct
but related domains to transfer the target data to the source domain
and utilize the available source data for better predictive modeling
design. Suitable for the case where a one-to-one sample matching is not
possible, thus one needs to transform the underlying data distribution
to utilize the more available data for modeling.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
