Chanwoost/tensorordinal: 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 the 37th International Conference on Machine Learning, PMLR 119:5778-5788, 2020.
Getting started
Browse package contents
Package details |
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| Author | Chanwoo Lee <chanwoo.lee@wisc.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu> |
| Maintainer | Chanwoo Lee <chanwoo.lee@wisc.edu> |
| License | GPL(>=2) |
| Version | 0.3.0 |
| URL | http://proceedings.mlr.press/v119/lee20i.html |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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