Header

UZH-Logo

Maintenance Infos

Boosting - an unusual yet attractive optimiser


Hothorn, Torsten (2014). Boosting - an unusual yet attractive optimiser. Methods of information in medicine, 53(6):417-418.

Abstract

This editorial is part of a For-Discussion-Section of Methods of Information in Medicine about the papers "The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling" [1] and "Extending Statistical Boosting - An Overview of Recent Methodological Developments" [2], written by Andreas Mayr and co-authors. It preludes two discussed reviews on developments and applications of boosting in biomedical research. The two review papers, written by Andreas Mayr, Harald Binder, Olaf Gefeller, and Matthias Schmid, give an overview on recently published methods that utilise gradient or likelihood-based boosting for fitting models in the life sciences. The reviews are followed by invited comments [3] by experts in both boosting theory and applications.

Abstract

This editorial is part of a For-Discussion-Section of Methods of Information in Medicine about the papers "The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling" [1] and "Extending Statistical Boosting - An Overview of Recent Methodological Developments" [2], written by Andreas Mayr and co-authors. It preludes two discussed reviews on developments and applications of boosting in biomedical research. The two review papers, written by Andreas Mayr, Harald Binder, Olaf Gefeller, and Matthias Schmid, give an overview on recently published methods that utilise gradient or likelihood-based boosting for fitting models in the life sciences. The reviews are followed by invited comments [3] by experts in both boosting theory and applications.

Statistics

Citations

3 citations in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Additional indexing

Item Type:Journal Article, not refereed, further contribution
Communities & Collections:04 Faculty of Medicine > Epidemiology, Biostatistics and Prevention Institute (EBPI)
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:1 December 2014
Deposited On:13 Jan 2015 16:32
Last Modified:05 Apr 2016 18:43
Publisher:Schattauer
ISSN:0026-1270
Publisher DOI:https://doi.org/10.3414/ME13-10-0123
PubMed ID:25450534

Download

Full text not available from this repository.
View at publisher