4 citations · 5 across the 4 of their papers we have counts for
6 papers
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
Jakob Schwerter, Andrés Romero, Florian Dumpert +1
Tree-based learning methods such as Random Forest and XGBoost are still the gold-standard prediction methods for tabular data. Feature importance measures are usually considered fo…
Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
Maria Thurow, Florian Dumpert, Burim Ramosaj +1
In statistical survey analysis, (partial) non-responders are integral elements during data acquisition. Treating missing values during data preparation and data analysis is therefo…
Is there a role for statistics in artificial intelligence?
Sarah Friedrich, Gerd Antes, Sigrid Behr +11
The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics,…
Quantitative Robustness of Localized Support Vector Machines
Florian Dumpert
The huge amount of available data nowadays is a challenge for kernel-based machine learning algorithms like SVMs with respect to runtime and storage capacities. Local approaches mi…
Universal Consistency and Robustness of Localized Support Vector Machines
Florian Dumpert
The massive amount of available data potentially used to discover patters in machine learning is a challenge for kernel based algorithms with respect to runtime and storage capacit…
A short note on extension theorems and their connection to universal consistency in machine learning
Andreas Christmann, Florian Dumpert, Dao-Hong Xiang
Statistical machine learning plays an important role in modern statistics and computer science. One main goal of statistical machine learning is to provide universally consistent a…