1999 AShortIntroToBoosting

• (Freund & Schapire, 1999) ⇒ Yoav Freund, Robert E. Schapire. (1999). “A Short Introduction to Boosting.” In: Journal of Japanese Society for Artificial Intelligence, 14(5).

Subject Headings: Boosting Algorithm.

Notes

• Reviewed in (Melli, 2003) ⇒ Gabor Melli. (2003). “Review of (Freund & Schapire, 1999) “A Short Introduction to Boosting”; and (Collins, 2000), “Discriminative Reranking for Natural Language Parsing”.” SFU CMPT-825 Course Presentation

Cited By

~838 http://scholar.google.com/scholar?cites=7806404972701557323

Abstract

Boosting is a general method for improving the accuracy of any given learning algorithm. This short overview 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 as well as boosting’s relationship to support-vector machines. Some examples of recent applications of boosting are also described.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1999 AShortIntroToBoosting	Yoav Freund Robert E. Schapire			A Short Introduction to Boosting		Journal of Japanese Society for Artificial Intelligence	http://www.cse.ucsd.edu/~yfreund/papers/IntroToBoosting.pdf			1999