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6533b822fe1ef96bd127d75d

RESEARCH PRODUCT

Low-cost scalable discretization, prediction and feature selection for complex systems

Illia HorenkoMohit NavandarSusanne GerberLukáš Pospíšil

subject

0303 health sciencesMultidisciplinary010504 meteorology & atmospheric sciencesDiscretizationComputer scienceData classificationProbabilistic logicComplex systemSciAdv r-articlesFeature selectioncomputer.software_genre01 natural sciences03 medical and health sciencesRange (mathematics)ScalabilityData miningCluster analysisAlgorithmcomputerResearch ArticlesMathematicsResearch Article030304 developmental biology0105 earth and related environmental sciences

description

The introduced data-driven tool allows simultaneous feature selection, model inference, and marked cost and quality gains.

yearjournalcountryeditionlanguage
2019-07-31
10.1101/720441http://dx.doi.org/10.1101/720441
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FORTHEM European University Alliance is co-funded by the European Union. FIT FORTHEM has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 101017248. The content of this website represents the views of the author only and is his/her sole responsibility; it cannot be considered to reflect the views of the European Commission.

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