AlCoCoMa is a package of algorithms which are able to:
(i) estimate single missing entries and denoise single observed entries in a rank one matrix
(ii) determine which entries can or can not be estimated or reconstructed, by any algorithm
(iii) give algorithm-independent error estimates which allow to predict the entry-wise estimation error made by any reconstruction algorithm
- Changes to previous version:
Initial Announcement on mloss.org.
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