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B-Course is a web-based data analysis tool for Bayesian
modeling, in particular dependence and classification modeling.
It can also be used as an interactive tutorial which provides you
with data sets that have been prepared in advance. B-Course can be
used as an analysis tool for any research where dependence or
classification modeling based on data is of interest.
B-Course can be freely used for educational and research
purposes only. B-Course designers are committed to ethic code
respecting privacy and security, and under no circumstances will
the data submitted to B-Course be distributed further.
New features were added to this edition of B-Course (2.0), including a new Classification Trail, and inference with Soft evidence. You are welcome to try them out. Thank you for your feedback.
B-Course Service is hosted by Complex Systems Computation Group
Helsinki Institute for Information Technology
Along the trails you will find references to the B-Course library for more detailed information. We advise you to study those texts, because they are vital for truly understanding what is going on in the analysis. When you familiarize yourself with the background information, you can use B-Course as any other software tool to help you in the analysis of your data. If you publish the results, we as the designers of B-Course would appreciate that you acknowledge that the results were obtained by using B-Course. A good reference to B-Cource is:
P.Myllymäki, T.Silander, H.Tirri, P.Uronen, B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis. International Journal on Artificial Intelligence Tools, Vol 11, No. 3 (2002) 369-387.
» Read about the goals of B-Course
|B-Course, version 2.0.0|