TensorReg Toolbox for Matlab
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TensorReg toolbox is a collection of Matlab functions for tensor regressions.
The toolbox is developed by Hua Zhou.
Compatibility
The code is tested on Matlab R2017a, but should work on other versions of Matlab with no or little changes. Current version works on these platforms: Windows 64-bit, Linux 64-bit, and Mac (Intel 64-bit). Type computer in Matlab’s command window to determine the platform.
Dependency
TensorReg toolbox uses the Tensor Toolbox. Please install the Tensor Toolbox before installing the TensorReg toolbox.
Installation (Matlab version >= 2014b)
Download the Matlab toolbox installation file TensorReg.mltbx. Double click the downloaded file and you should be good to go. If it does not work for some reasons, follow the below instructions for Matlab version < 2014b.
Installation (Matlab version < 2014b)
Matlab 2014b Mac Download Torrent
- Download
ZIP Filefile using the links on the left. - Extract the zip file.
- Rename the folder from Hua-Zhou-SparseReg-xxxxxxx to SparseReg.
- Add the TensorReg folder to Matlab search path. Start Matlab, cd to the TensorReg directory, and execute the following commands
addpath(pwd) %<-- Add the toolbox to the Matlab pathsave path %<-- Save for future Matlab sessions - Go through following tutorials for the usage. For help of individual functions, type
?followed by the function name in Matlab.
Tutorial
Matlab 2014b Mac Download Torrent
How to cite
Matlab 2014b Mac Download Latest
If you use this toolbox, please cite the software itself along with at least one publication or preprint.
- Software reference:
H Zhou. Matlab TensorReg Toolbox Version 1.0, Available online, March 2017. - Default article to cite for Kruskal (CP) tensor regression:
H Zhou, L Li, and H Zhu (2013) Tensor regression with applications in neuroimaging data analysis, Journal of American Statistical Association, 108(502):540-552. - Default article to cite for Tucker tensor regression:
X Li, H Zhou, and L Li (2013) Tucker tensor regression and neuroimaging analysis, [arXiv:1304.5637]. - Default article to cite for regularized matrix regression:
H Zhou and L Li. (2014) Regularized matrix regression, Journal of Royal Statistical Society Series B, 76(2):463-483.
Matlab 2016 Download
Contacts
Matlab download free. full Version
Hua Zhou huazhou@ucla.edu
Matlab Download Mac
| Release (MATLAB Runtime Version#) | Windows | Linux | Mac | ||||||||||||
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| R2021b (9.11) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2021a (9.10) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2020b (9.9) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2020a (9.8) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2019b (9.7) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2019a (9.6) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2018b (9.5) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2018a (9.4) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2017b (9.3) | 64-bit | 64-bit | Intel 64-bit | ||||||||||||
Apply Updates to R2016a-R2017a versions of MATLAB Runtime after installing the runtimeImportant security fixes are available for the R2016a, R2016b, and R2017a releases of the MATLAB Runtime. After installing the MATLAB Runtime for one of these releases, you should apply the latest Update by clicking on the appropriate Update link below. Note this applies only if your application uses MATLAB apps authored with MATLAB App Designer (.mlapp files). For more information see this bug report.
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| R2015b (9.0) 1, 2, 3 | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2015aSP1 (8.5.1) 1 | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2015a (8.5) 1 | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2014b (8.4) 1 | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2014a (8.3) 1 | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2013b (8.2) | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2013a (8.1) | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2012b (8.0) | 32-bit / 64-bit | 64-bit | Intel 64-bit | ||||||||||||
| R2012a (7.17) | 32-bit / 64-bit | 32-bit / 64-bit | Intel 64-bit | ||||||||||||
| R2011b and earlier 4 | Open MATLAB and run the command | ||||||||||||||