id
	15580
Url
	https://chloe.cnr.it/s/BiDiAr/item/15580
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	The State of Boosting
Creator
	Ridgeway, Greg
Date
	2001
Language
	eng
Abstract
	In many problem domains, combining the predictions of several models often results in a model with improved predictive performance. Boosting is one such method that has shown great promise. On the applied side, empirical studies have shown that combining models using boosting methods produces more accurate classification and regression models. These methods are extendible to the exponential family as well as proportional hazards regression models. This article shows that boosting, which is still new to statistics, is widely applicable. I will introduce boosting, discuss the current state of boosting, and show how these methods connect to more standard statistical practice. 1
Is Part Of
	Journal of Computational Science
Pages
	172-181
Volume
	31
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/9JUE2JTJ/item-list

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