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Matrix completion is the task of filling in the missing entries of a partially observed matrix, which is equivalent to performing data imputation in statistics. A wide range of datasets are naturally organized in matrix form. One example is the movie-ratings matrix, as appears in the Netflix problem: Given a ratings matrix in which each entry ( i , j )…
Applications & Art
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Matrix completion | is a | task of filling in the missing entries of a partially observed matrix | 0.90 | text |
| recommender systems | instance of | particularly when observations are sparse or the matrix is ill-conditioned.Discrete-aware matrix completionIn applications | 0.80 | text |
| where matrix entries are discrete | instance of | particularly when observations are sparse or the matrix is ill-conditioned.Discrete-aware matrix completionIn applications | 0.80 | text |
| recommender systems | instance of | Discrete-aware matrix completionIn applications | 0.80 | text |
| where matrix entries are discrete | instance of | Discrete-aware matrix completionIn applications | 0.80 | text |
| private nodes | instance of | which can be due to reasons | 0.80 | text |
| limited storage or compute resources | instance of | which can be due to reasons | 0.80 | text |
| we only have a fraction of distance entries known | instance of | which can be due to reasons | 0.80 | text |
| Matrix completion | has application | Several | 0.60 | section |
| Matrix completion | has application | Candès | 0.60 | section |
| Matrix completion | has application | Plan | 0.60 | section |
| Matrix completion | related to Algorithms for low-rank matrix completion | Various | 0.60 | section |
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