Discussion of “the evolution of boosting algorithms” and “extending statistical boosting”

P. Bühlmann, J. Gertheiss, S. Hieke, T. Kneib, S. Ma, M. Schumacher, G. Tutz, C. Y. Wang, Z. Wang, A. Ziegler

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This article 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 is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the Mayr et al. papers. In sub - sequent issues the discussion can continue through letters to the editor.

Original languageEnglish (US)
Pages (from-to)436-445
Number of pages10
JournalMethods of Information in Medicine
Volume53
Issue number6
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Algorithms
  • Classification
  • Machine learning
  • Statistical computing
  • Statistical models

ASJC Scopus subject areas

  • Health Informatics
  • Advanced and Specialized Nursing
  • Health Information Management

Fingerprint

Dive into the research topics of 'Discussion of “the evolution of boosting algorithms” and “extending statistical boosting”'. Together they form a unique fingerprint.

Cite this