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dc.contributor.authorPiatkowski, Nico-
dc.date.accessioned2018-10-12T12:22:11Z-
dc.date.available2018-10-12T12:22:11Z-
dc.date.issued2011-02-
dc.identifier.urihttp://hdl.handle.net/2003/37187-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19183-
dc.description.abstractThis Report describes the technical background and usage of the GraphMod plug-in for RapidMiner. The plug-in enables RapidMiner to load factor graphs and interpret Label and Attributes which are contained in an Example as assignments to random variables. A set of examples which belong to the same Batch is treated as assignment to a whole factor graph. New operators allow the estimation of factor weights, the computation of the single-node marginal probability functions and the computation of the most probable assignment for each Labelnode with several methods. All algorithms are optimized for parallel execution on common multi-core processors and NVIDIA CUDA capable many-core processors (also known as Graphics Processing Unit).en
dc.language.isoende
dc.relation.ispartofseriesTechnical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung;2/2011-
dc.subject.ddc004-
dc.titleProbabilistic Graphical Models in RapidMineren
dc.typeTextde
dc.type.publicationtypereportde
dcterms.accessRightsopen access-
eldorado.secondarypublicationfalsede
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