A brief introduction to boosting

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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 languageEnglish (US)
Pages (from-to)1401-1406
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Volume2
StatePublished - Dec 1 1999
Externally publishedYes
Event16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden
Duration: Jul 31 1999Aug 6 1999

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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