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- Probabilistic_programming_language abstract "A probabilistic programming language (PPL) is a programming language specially designed to describe and infer with probabilistic models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible. Probabilistic programming represents an attempt to "[unify] general purpose programming with probabilistic modeling." Probabilistic reasoning is one of the foundational technologies of machine learning. It is used by companies such as Google, Amazon.com, and Microsoft to make sense of the data available to them. Probabilistic reasoning has been used for applications as diverse as predicting stock prices, recommending movies, diagnosing computers, and detecting cyber intrusions.PPLs often extend from a basic language. The inventors' choices of underlying basic language depend on the similarity of their models to the basic language's ontology, as well as commercial considerations and personal preference. For instance, Dimple and Chimple are based on Java, Infer.NET is based on .NET framework, while PRISM extends from Prolog. However, some PPLs such as WinBUGS and Stan (software) define a self-contained language for their users to use, which is not obviously derived from a predecessor language.Currently there are several PPLs in active development, some of them have advanced to the beta stage. However because PRMs are new, up to year 2010 there have been no well-known software projects utilizing those languages.".
- Probabilistic_programming_language wikiPageExternalLink list-of-probabilistic-model-mini-language-toolkits.
- Probabilistic_programming_language wikiPageExternalLink Home.
- Probabilistic_programming_language wikiPageID "30431128".
- Probabilistic_programming_language wikiPageRevisionID "639213919".
- Probabilistic_programming_language subject Category:Probabilistic_models.
- Probabilistic_programming_language subject Category:Probabilistic_software.
- Probabilistic_programming_language comment "A probabilistic programming language (PPL) is a programming language specially designed to describe and infer with probabilistic models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible. Probabilistic programming represents an attempt to "[unify] general purpose programming with probabilistic modeling." Probabilistic reasoning is one of the foundational technologies of machine learning.".
- Probabilistic_programming_language label "Probabilistic programming language".
- Probabilistic_programming_language sameAs m.0g5sdlb.
- Probabilistic_programming_language sameAs Q7246865.
- Probabilistic_programming_language sameAs Q7246865.
- Probabilistic_programming_language wasDerivedFrom Probabilistic_programming_language?oldid=639213919.
- Probabilistic_programming_language isPrimaryTopicOf Probabilistic_programming_language.