| Name : R-CMF
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.2
| Date : 2024-09-10 18:12:27
|
| Group : Development/Libraries/Other
| Source RPM : R-CMF-1.0.3-lp156.2.2.src.rpm
|
| Size : 0.14 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Collective Matrix Factorization
|
Description :
Collective matrix factorization (CMF) finds joint low-rank
representations for a collection of matrices with shared row or column
entities. This code learns a variational Bayesian approximation for
CMF, supporting multiple likelihood potentials and missing data, while
identifying both factors shared by multiple matrices and factors
private for each matrix. For further details on the method see Klami et
al. (2014) < arXiv:1312.5921>. The package can also be used to learn
Bayesian canonical correlation analysis (CCA) and group factor analysis
(GFA) models, both of which are special cases of CMF. This is likely to
be useful for people looking for CCA and GFA solutions supporting
missing data and non-Gaussian likelihoods. See Klami et al. (2013)
< https://research.cs.aalto.fi/pml/online-papers/klami13a.pdf> and
Virtanen et al. (2012)
< http://proceedings.mlr.press/v22/virtanen12.html> for details on
Bayesian CCA and GFA, respectively.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
