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20162023
most citedRegularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

168 citations · 656 across the 19 of their papers we have counts for

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2 papers · 1 filter

stat.CO2016★ 73 cited

Stability selection for component-wise gradient boosting in multiple dimensions

Janek Thomas, Andreas Mayr, Bernd Bischl +3

We present a new algorithm for boosting generalized additive models for location, scale and shape (GAMLSS) that allows to incorporate stability selection, an increasingly popular w…

cs.LG2016★ 2 cited

mlr Tutorial

Julia Schiffner, Bernd Bischl, Michel Lang +9

This document provides and in-depth introduction to the mlr framework for machine learning experiments in R.