A brief introduction to boosting

Robert E. Schapire

A brief introduction to boosting

Research output: Contribution to journal › Conference article › peer-review

Abstract

Boosting is a general method for improving the accuracy of any given learning algorithm. This short paper introduces the boosting algorithm AdaBoost, and explains the underlying theory of boosting, including an explanation of why boosting often does not suffer from overfitting. Some examples of recent applications of boosting are also described.

Original language	English (US)
Pages (from-to)	1401-1406
Number of pages	6
Journal	IJCAI International Joint Conference on Artificial Intelligence
Volume	2
State	Published - 1999
Externally published	Yes
Event	16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden Duration: Jul 31 1999 → Aug 6 1999

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Cite this

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title = "A brief introduction to boosting",

abstract = "Boosting is a general method for improving the accuracy of any given learning algorithm. This short paper introduces the boosting algorithm AdaBoost, and explains the underlying theory of boosting, including an explanation of why boosting often does not suffer from overfitting. Some examples of recent applications of boosting are also described.",

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M3 - Conference article

AN - SCOPUS:84880692052

SN - 1045-0823

VL - 2

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JF - IJCAI International Joint Conference on Artificial Intelligence

T2 - 16th International Joint Conference on Artificial Intelligence, IJCAI 1999

Y2 - 31 July 1999 through 6 August 1999

ER -

A brief introduction to boosting

Abstract

All Science Journal Classification (ASJC) codes

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