Learning Bayesian networks with hidden variables for user modeling
Autor: Großmann-Hutter, Barbara and Jameson, Anthony and Wittig, Frank
Herausgeber:
We present issues and initial results of our research
into methods for learning Bayesian networks for user modeling on
the basis of empirical data, focusing on issues that are
especially important in the context of user modeling. These
issues include the treatment of theoretically interpretable
hidden variables, ways of learning partial networks and combining
them into a single network, ways of taking into account the
special properties of datasets acquired through psychological
experiments, and ways of increasing the efficiency and
effectiveness of the learning algorithms.
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