most citedCollaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

70 citations · 92 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.AI2013★ 5 cited

Mixture Approximations to Bayesian Networks

Volker Tresp, Michael Haft, Reimar Hofmann

Structure and parameters in a Bayesian network uniquely specify the probability distribution of the modeled domain. The locality of both structure and probabilistic information are…

cs.AI2012★ 17 cited

Infinite Hidden Relational Models

Zhao Xu, Volker Tresp, Kai Yu +1

In many cases it makes sense to model a relationship symmetrically, not implying any particular directionality. Consider the classical example of a recommendation system where the…