Probabilistic Graphical Models in RapidMiner
| dc.contributor.author | Piatkowski, Nico | |
| dc.date.accessioned | 2018-10-12T12:22:11Z | |
| dc.date.available | 2018-10-12T12:22:11Z | |
| dc.date.issued | 2011-02 | |
| dc.description.abstract | This 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.identifier.uri | http://hdl.handle.net/2003/37187 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-19183 | |
| dc.language.iso | en | de |
| dc.relation.ispartofseries | Technical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung;2/2011 | |
| dc.subject.ddc | 004 | |
| dc.title | Probabilistic Graphical Models in RapidMiner | en |
| dc.type | Text | de |
| dc.type.publicationtype | report | de |
| dcterms.accessRights | open access | |
| eldorado.secondarypublication | false | de |