5 citations · 8 across the 5 of their papers we have counts for
5 papers
Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles
Claus Weihs, Sarah Buschfeld
In this paper, we extend our PrInDT method (Weihs & Buschfeld 2021a) towards undersampling with different percentages of the smaller and the larger classes (psmall and plarge), str…
Combining Prediction and Interpretation in Decision Trees (PrInDT) -- a Linguistic Example
Claus Weihs, Sarah Buschfeld
In this paper, we show that conditional inference trees and ensembles are suitable methods for modeling linguistic variation. As against earlier linguistic applications, however, w…
NesPrInDT: Nested undersampling in PrInDT
Claus Weihs, Sarah Buschfeld
In this paper, we extend our PrInDT method (Weihs, Buschfeld 2021) towards additional undersampling of one of the predictors. This helps us to handle multiple unbalanced data sets,…
Infill Criterion for Multimodal Model-Based Optimisation
Dirk Surmann, Uwe Ligges, Claus Weihs
Physical systems are modelled and investigated within simulation software in an increasing range of applications. In reality an investigation of the system is often performed by em…
Fast model selection by limiting SVM training times
Aydin Demircioglu, Daniel Horn, Tobias Glasmachers +2
Kernelized Support Vector Machines (SVMs) are among the best performing supervised learning methods. But for optimal predictive performance, time-consuming parameter tuning is cruc…