On the Bayes-risk consistency of regularized boosting methods.
type: Item
instance of: scholarly article
title: On the Bayes-risk consistency of regularized boosting methods.
zbMATH Open document ID: 1105.62319
author: Gábor Lugosi
author: Nicolas Vayatis
published in: The Annals of Statistics
publication date: 2004-11-05T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.aos/1079120129
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G99
zbMATH DE Number: 2113742
zbMATH Keywords: boosting
zbMATH Keywords: classification
zbMATH Keywords: Bayes-risk consistency
zbMATH Keywords: penalized model selection
zbMATH Keywords: smoothing parameter
zbMATH Keywords: convex cost functions
zbMATH Keywords: empirical processes
describes a project that uses: AdaBoost.MH
MaRDI profile type: Publication
OpenAlex ID: W2068221105
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DOI: 10.1214/AOS/1079120129
description: scientific article; zbMATH DE number 2113742