tutorials

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

name	image	description	version
Walkthrough 1 - A simple model		This walkthrough demonstrates building a simple Bayesian network, and calculating some queries.	4.0
Walkthrough 2 - Mixture model		This walkthrough demonstrates building a mixture model of {X,Y} position data.	4.0
Walkthrough 3 - 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		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