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There has been growing interest in inferring implicit social structures using interaction data. This approach is motivated by the fact that entities organize themselves into groups having frequent interactions between each other. Unlike previous approaches that focused on subjectively declared relationships, the idea is to exploit the actual evidence at(More)
This one day workshop will introduce the audience to Bayesian inference and learning for graphical models with examples and applications drawn from the multimedia field. The workshop will begin with a hands-on introduction to Bayesian reasoning and Bayesian networks, using HUGIN. The speakers will then present more advanced topics on Bayesian approximation(More)
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