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  An Introduction to Boosting and Leveraging

Meir, R., & Rätsch, G. (2003). An Introduction to Boosting and Leveraging. In S. Mendelson, & A. Smola (Eds.), Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002 (pp. 118-183). Berlin, Germany: Springer. doi:10.1007/3-540-36434-X_4.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-DD52-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-7381-7
Genre: Conference Paper

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 Creators:
Meir, R, Author
Rätsch, G1, Author              
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: We provide an introduction to theoretical and practical aspects of Boosting and Ensemble learning, providing a useful reference for researchers in the field of Boosting as well as for those seeking to enter this fascinating area of research. We begin with a short background concerning the necessary learning theoretical foundations of weak learners and their linear combinations. We then point out the useful connection between Boosting and the Theory of Optimization, which facilitates the understanding of Boosting and later on enables us to move on to new Boosting algorithms, applicable to a broad spectrum of problems. In order to increase the relevance of the paper to practitioners, we have added remarks, pseudo code, “tricks of the trade”, and algorithmic considerations where appropriate. Finally, we illustrate the usefulness of Boosting algorithms by giving an overview of some existing applications. The main ideas are illustrated on the problem of binary classification, although several extensions are discussed.

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 Dates: 2003-012003
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2150
DOI: 10.1007/3-540-36434-X_4
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Title: Machine Learning Summer School 2002
Place of Event: Canberra, Australia
Start-/End Date: 2002-02-11 - 2002-02-22

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Title: Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002
Source Genre: Proceedings
 Creator(s):
Mendelson, S, Editor
Smola, AJ1, Editor            
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 118 - 183 Identifier: ISBN: 978-3-540-00529-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 2600 Sequence Number: - Start / End Page: - Identifier: -