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Tick Classification / Regression Tick Clustering / Mixture models Tick Density estimation
Tick Time series prediction Tick Anomaly detection Tick Decision Support
Tick Multivariate models Tick Learning with missing data Tick Probabilistic reasoning

techniques

Bayesian networks can be used for a variety of tasks, some of which are listed below.

Bayes Server has an advanced library (API) for Bayesian networks which can be called by .NET languages such as C#, F#, VB.NET, managed C++, and many others. Check out these tips for writing numerical code in .NET.






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