ada: An R Package for Stochastic Boosting

Boosting is an iterative algorithm that combines simple classification rules with "mediocre" performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which incorporates a random mechanism at...

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Bibliographic Details
Main Authors: Mark Culp, Kjell Johnson, George Michailides
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2006-09-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/1510