| Name : R-LTAR
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.3.2
| Date : 2024-06-14 11:51:17
|
| Group : Development/Libraries/Other
| Source RPM : R-LTAR-0.1.0-lp153.3.2.src.rpm
|
| Size : 0.12 MB
| |
| Packager : (none)
| |
| Summary : Tensor Forecasting Functions
|
Description :
A set of tools for forecasting the next step in a multidimensional
setting using tensors. In the examples, a forecast is made of sea
surface temperatures of a geographic grid (i.e. lat/long). Each
observation is a matrix, the entries in the matrix and the sea surface
temperature at a particular lattitude/longitude. Cates, J., Hoover, R.
C., Caudle, K., Kopp, R., & Ozdemir, C. (2021) \"Transform-Based Tensor
Auto Regression for Multilinear Time Series Forecasting\" in 2021 20th
IEEE International Conference on Machine Learning and Applications
(ICMLA) (pp. 461-466), IEEE < doi:10.1109/ICMLA52953.2021.00078>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
