Academic Article

The State of Boosting

Title
The State of Boosting
Creator(s)
Ridgeway, Greg
Date
2001
Is Part Of
Journal of Computational Science
Volume
31
Pages
172-181
Language
eng
Zotero BiDiAr
https://www.zotero.org/groups/5293298/bidiar/items/9JUE2JTJ/item-list
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

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