Tensor Noise Reduction and Completion Based on Ordinal Observations

Efficient algorithm for tensor noise reduction and completion of ordinal tensor data based on the cumulative link model. The algorithm employs the alternating optimization approach. The detailed algorithm description can be found in Lee and Wang, Proceedings of International Conference on Machine Learning, 119:5778-5788, 2020.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.0 by Chanwoo Lee, 4 months ago


Browse source code at https://github.com/cran/tensorordinal

Authors: Chanwoo Lee <[email protected]> , Miaoyan Wang <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Imports pracma, MASS, rTensor, methods

See at CRAN