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A Sparse Interactive Model for Matrix Completion with Side Information
Matrix completion methods can benefit from side information besides the partially observed matrix. The use of side features that describe the row and column entities of a matrix has been shown to reduce the sample complexity for completing the matrix. We propose a novel sparse formulation that expli...
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| Published in: | Adv Neural Inf Process Syst |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5656014/ https://ncbi.nlm.nih.gov/pubmed/29081639 |
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