Multi-tensor Factorization

This software package implements the multi-tensor factorization (MTF) model and its relaxed variant (rMTF). The models infer joint factorization of multiple coupled matrices and tensors.

Source Code

If you use any of the algorithms implemented in the package, please cite the following paper. The zip-package contains both, the code for learning the model and an example script running on a toy dataset.

Download: MTF.zip (R Implementation, Version 0.1, Sep 2014)
rMTF.zip (R Implementation, Version 1.0, Dec 2014)
Dependencies: R package compiler
Example: The package contains a example script demo.R that runs on toy data.
License: Licensed under the FreeBSD open source license.

Publications

• Suleiman A. Khan, Eemeli Leppaaho and Samuel Kaski (2016). Bayesian multi-tensor factorization. Machine Learning, 105(2):233-253, doi:10.1007/s10994-016-5563-y

Contact/Feedback

Suleiman A. Khan khan.suleiman@gmail.com
Eemeli Leppaaho eemeli.leppaaho@aalto.fi