| Document Date: 2015-06-16 09:42:08
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City Verona / Exemplar / / Company Princeton University Press / Springer-Verlag New York Inc. / Mead / CNN / / Country Italy / / Facility Manuele Bicego University of Verona / / IndustryTerm max-sum message passing algorithm / satisfactory solutions / possible solution / approximated maximization algorithms / clustering algorithm / aggregation algorithm / valid solution / sum-product algorithm / valid solutions / nearest / poor quality solutions / max-sum algorithm / learning algorithm / / Organization Manuele Bicego University of Verona / Department of Computer Science / Princeton University / / Person Alessandro Farinelli / Matteo Denitto / / Position Bishop / Binary Factor Graph Model / / PublishedMedium Machine Learning / IEEE Transactions on Information Theory / / Technology SNMP / Bioinformatics / sum-product algorithm / DNA Chip / gene expression / max-sum message passing algorithm / clustering algorithm / Data Mining / Machine Learning / max-sum algorithm / biclustering algorithm / Biclustering algorithms / approximated maximization algorithms / aggregation algorithm / / URL www.tik.ee.ethz.ch/sop/bimax / /
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A Binary Factor Graph Model for Biclustering Matteo Denitto, Alessandro Farinelli, Giuditta Franco, and Manuele Bicego University of Verona, Department of Computer Science, Verona, Italy Abstract. Biclustering, which can