60 citations · 361 across the 33 of their papers we have counts for
6 papers · 1 filter
Fast Linear Model Trees by PILOT
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck +1
Linear model trees are regression trees that incorporate linear models in the leaf nodes. This preserves the intuitive interpretation of decision trees and at the same time enables…
Silhouettes and quasi residual plots for neural nets and tree-based classifiers
Jakob Raymaekers, Peter J. Rousseeuw
Classification by neural nets and by tree-based methods are powerful tools of machine learning. There exist interesting visualizations of the inner workings of these and other clas…
Weight-of-evidence 2.0 with shrinkage and spline-binning
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
In many practical applications, such as fraud detection, credit risk modeling or medical decision making, classification models for assigning instances to a predefined set of class…
Regularized K-means through hard-thresholding
Jakob Raymaekers, Ruben H. Zamar
We study a framework of regularized -means methods based on direct penalization of the size of the cluster centers. Different penalization strategies are considered and compared…
Class maps for visualizing classification results
Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert
Classification is a major tool of statistics and machine learning. A classification method first processes a training set of objects with given classes (labels), with the goal of a…
Transforming variables to central normality
Jakob Raymaekers, Peter J. Rousseeuw
Many real data sets contain numerical features (variables) whose distribution is far from normal (gaussian). Instead, their distribution is often skewed. In order to handle such da…