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In multilinear algebra, the tensor rank decomposition or rank-R decomposition is the decomposition of a tensor as a sum of R rank-1 tensors, where R is minimal. Computing this decomposition is an open problem.[clarification needed]
Applications, Calculating the CPD & Tensor rank
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| topic modeling | instance of | In applications | 0.80 | text |
| this can be interpreted as the co-occurrence of words in a document | instance of | In applications | 0.80 | text |
| Tensor rank decomposition | related to Identifiability | It | 0.60 | section |
| Tensor rank decomposition | related to Identifiability | For | 0.60 | section |
| Tensor rank decomposition | related to Identifiability | An | 0.60 | section |
| Tensor rank decomposition | related to Identifiability | Observe | 0.60 | section |
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