376 citations · 472 across the 11 of their papers we have counts for
3 papers · 1 filter
Transfer learning of regression models from a sequence of datasets by penalized estimation
Wessel N. van Wieringen, Harald Binder
Transfer learning refers to the promising idea of initializing model fits based on pre-training on other data. We particularly consider regression modeling settings where parameter…
Extending Statistical Boosting - An Overview of Recent Methodological Developments
Andreas Mayr, Harald Binder, Olaf Gefeller +1
Boosting algorithms to simultaneously estimate and select predictor effects in statistical models have gained substantial interest during the last decade. This review article aims…
The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling
Andreas Mayr, Harald Binder, Olaf Gefeller +1
The concept of boosting emerged from the field of machine learning. The basic idea is to boost the accuracy of a weak classifying tool by combining various instances into a more ac…