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In probability theory and statistics, a concentration parameter is a special kind of numerical parameter of a parametric family of probability distributions. Concentration parameters occur in two kinds of distribution: In the Von Mises–Fisher distribution, and in conjunction with distributions whose domain is a probability distribution, such as the…
Sparse prior, Dirichlet distribution & Overview
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distribution parameter concentration distributions dirichlet probability words value tends towards likely uniform resulting case topic might parameters symmetric smaller distributed
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Concentration parameter | is a | special kind of numerical parameter of a parametric family of probability distributions | 0.90 | text |
| Concentration parameter | related to Dirichlet distribution | In | 0.60 | section |
| Concentration parameter | related to Dirichlet distribution | Dirichlet | 0.60 | section |
| Concentration parameter | related to Dirichlet distribution | This | 0.60 | section |
| Concentration parameter | related to Dirichlet distribution | Meanwhile | 0.60 | section |
| Concentration parameter | related to Dirichlet distribution | Dirac | 0.60 | section |
| Concentration parameter | related to Sparse prior | An | 0.60 | section |
| Concentration parameter | related to Sparse prior | The | 0.60 | section |
| Concentration parameter | related to Sparse prior | Dirichlet | 0.60 | section |
| Concentration parameter | related to Sparse prior | However | 0.60 | section |
| Concentration parameter | related to Sparse prior | Accordingly | 0.60 | section |
| Concentration parameter | related to Sparse prior | With | 0.60 | section |
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