122 citations
- Technische Universität DresdenDE4 papers
- Bielefeld UniversityDE3 papers
- Goethe University FrankfurtDE3 papers
- Institució Catalana de Recerca i Estudis AvançatsES2 papers
- Leipzig UniversityDE2 papers
- Universitat Autònoma de BarcelonaES2 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- Graz University of TechnologyAT1 paper
- Institute for PhysicsUS1 paper
- Laboratoire d’Imagerie BiomédicaleFR1 paper
- Lancaster UniversityGB1 paper
- Leibniz University HannoverDE1 paper
Showing cs.AIShow all
3 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.AI2013★ 23 cited
On the Use of Skeletons when Learning in Bayesian Networks
Harald Steck
In this paper, we present a heuristic operator which aims at simultaneously optimizing the orientations of all the edges in an intermediate Bayesian network structure during the se…
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…