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Combining Prediction and Interpretation in Decision Trees (PrInDT) -- a Linguistic Example
In this paper, we show that conditional inference trees and ensembles are suitable methods for modeling linguistic variation.
Infill Criterion for Multimodal Model-Based Optimisation
Our aim is to derive a method which generates diverse test scenarios each representing a challenging situation for the corresponding physical system.
Fast model selection by limiting SVM training times
Kernelized Support Vector Machines (SVMs) are among the best performing supervised learning methods.
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