2 code implementations • Findings (EMNLP) 2021 • Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer
We propose a rolling version of the Latent Dirichlet Allocation, called RollingLDA.
no code implementations • 15 Jun 2021 • Andrea Bommert, Jörg Rahnenführer, Michel Lang
We propose the approach of tuning the hyperparameters of a predictive model in a multi-criteria fashion with respect to predictive accuracy and feature selection stability.
1 code implementation • 25 Sep 2020 • Andrea Bommert, Jörg Rahnenführer
For data sets with similar features, for example highly correlated features, most existing stability measures behave in an undesired way: They consider features that are almost identical but have different identifiers as different features.
no code implementations • 14 Aug 2020 • Rudolf Jagdhuber, Michel Lang, Jörg Rahnenführer
Cost-sensitive feature selection describes a feature selection problem, where features raise individual costs for inclusion in a model.
no code implementations • 12 Aug 2020 • Rudolf Jagdhuber, Jörg Rahnenführer
In situations with large cost differences and small effect sizes, the BCR missed relevant features and preferred cheap noise features.
no code implementations • 14 Feb 2020 • Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer
Based on the newly proposed measure for LDA stability, we propose a method to increase the reliability and hence to improve the reproducibility of empirical findings based on topic modeling.
1 code implementation • 24 Feb 2019 • Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl
To carry out a clinical research under this scenario, an analyst could train a machine learning model only on local data site, but it is still possible to execute a statistical query at a certain cost in the form of sending a machine learning model to some of the remote data sites and get the performance measures as feedback, maybe due to prediction being usually much cheaper.
no code implementations • 16 Jun 2016 • Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting
Migration crisis, climate change or tax havens: Global challenges need global solutions.