output
20142023
most citedThe Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling

376 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2014Show all

3 papers · 1 filter

cs.DS2014

The Complexity of Finding Effectors

Laurent Bulteau, Stefan Fafianie, Vincent Froese +2

The NP-hard EFFECTORS problem on directed graphs is motivated by applications in network mining, particularly concerning the analysis of probabilistic information-propagation proce…

stat.ME2014★ 53 cited

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…

stat.ME2014★ 376 cited

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…