Bayesian Networks-based CAT
Bayesian Networks can be used for various field to help people make decision based on observed a-prior information. In educational testing, a
student model (SM) can be built using Bayesian Networks theory, which can be used to measure student latent abilities, unidimensional as well as multidimensional, according to their responses to designed items.
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AutoClass, a project of NASA aiming at searching in universe, can be found at http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/index.html
It is interesting and exciting for Bayesian researcher or learner.
"AutoClass takes a database of cases described by a combination of real and discrete valued attributes, and automatically finds the natural classes in that data. It does not need to be told how many classes are present or what they look like – it extracts this information from the data itself. "
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