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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

tutorials

This page contains information aimed at getting users started with Bayesian network and Dynamic Bayesian network technology using Bayes Server™.

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Walkthrough 1 - A simple model Query explorer This walkthrough demonstrates building a simple Bayesian network, and calculating some queries. 4.0
Walkthrough 2 - Mixture model Mixture model This walkthrough demonstrates building a mixture model of {X,Y} position data. 4.0
Walkthrough 3 - Time series prediction Time series prediction This walkthrough demonstrates learning a time series model (Dynamic Bayesian network) and making predictions. 4.0
Walkthrough 4 - Using the Bayes Server API   This tutorial shows how to use the Bayes Server libraries (API) to compile and run one of the help samples. 4.0
Walkthrough 5 - Classification Time series prediction This walkthrough demonstrates using a Bayesian network for classification. The tutorial demonstrates how to perform batch queries and generate a confusion matrix. 4.0
Mixture model interactive demo   This interactive demo models the well known Iris data set with a Mixture Model. 4.0

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