ARCHIVES Juni 2017

Paper accepted!

Our paper has been accepted in BioData Mining: Neumann U, Genze N, Heider D: EFS: An Ensemble Feature Selection Tool implemented as R-package and Web-Application. BioData Mining 2017, 10:21. (Link) Abstract Background Feature selection methods aim at identifying a subset of features that improve the prediction performance of subsequent classification models and thereby also simplify…


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Open Position – Masters Thesis

If you are a Masters student in the Marburg/Gießen area, you might be interested in this: We have an open project available as a Masters Thesis, which focuses on DNA sequence classification using recently discovered machine learning approaches such as Random Forests and SVMs with string kernels.