Selecting Optimal Completion to Partial Matrix via Self-Validation

IEEE Signal Processing Letters, pp. 1265-1269, 2020.

Cited by: 0|Bibtex|Views18|DOI:https://doi.org/10.1109/LSP.2020.3008043
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Abstract:

In many applications such as film recommendation, one often encounters the problem of estimating the unseen entries in a partially observed matrix, formally known as matrix completion. Over the past several decades, lots of effective methods have been established in the literature, and each method may contain several hyper-parameters. For...More

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