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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 International Conference on Machine Learning, 119:5778-5788, 2020.
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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 | 0.2.0 |
| URL | http://proceedings.mlr.press/v119/lee20i.html |
| Package repository | View on CRAN |
| Installation |
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