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Oznake: computer science;data mining;databases
Users typically rate only a small fraction of all available items. We show that the absence of ratings carries useful information for improving the top-k hit rate concerning all items, a natural accuracy measure for recommendations. As to test recommender systems, we present two performance measures ...
Leto: 2010 Vir: videolectures.net
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Oznake: computer science;machine learning;bayesian learning;dirichlet processes
In the Bayesian approach to structure learning of graphical models, the equivalent sample size (ESS) in the Dirichlet prior over the model parameters was recently shown to have an important effect on the maximum-a-posteriori estimate of the Bayesian network structure. In our first contribution, we t ...
Leto: 2008 Vir: videolectures.net
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