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Probabilistic programming (PP) is a programming paradigm based on the declarative specification of probabilistic models, for which inference is performed automatically. Probabilistic programming attempts to unify probabilistic modeling and traditional general purpose programming in order to make the former easier and more widely applicable. It can be…
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programming probabilistic language models inference used bayesian ppls languages julia program based specification paradigm also using make winbugs relational logic
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| predicting stock prices | instance of | ApplicationsProbabilistic reasoning has been used for a wide variety of tasks | 0.80 | text |
| recommending movies | instance of | ApplicationsProbabilistic reasoning has been used for a wide variety of tasks | 0.80 | text |
| diagnosing computers | instance of | ApplicationsProbabilistic reasoning has been used for a wide variety of tasks | 0.80 | text |
| detecting cyber intrusions | instance of | ApplicationsProbabilistic reasoning has been used for a wide variety of tasks | 0.80 | text |
| image detection | instance of | ApplicationsProbabilistic reasoning has been used for a wide variety of tasks | 0.80 | text |
| PyMC provide automated methods to find the parameterization of informed priors | instance of | libraries | 0.80 | text |
| Probabilistic programming | has application | Probabilistic | 0.60 | section |
| Probabilistic programming | has application | However | 0.60 | section |
| Probabilistic programming | has application | Nevertheless | 0.60 | section |
| Probabilistic programming | has application | The | 0.60 | section |
| Probabilistic programming | has application | Picture | 0.60 | section |
| Probabilistic programming | has application | Julia | 0.60 | section |
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