<テクニカルレポート>
Smooth Boosting Using an Informatioin-Based Criterion

作成者
本文言語
出版者
発行日
収録物名
出版タイプ
アクセス権
関連DOI
関連URI
関連情報
概要 Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in the “boosting by filtering” sche...me, which is suitable for huge data. However, current smooth boosting algorithms have rooms for improvements: Among non-smooth boosting algorithms, real AdaBoost or InfoBoost, can perform more efficiently than typical boosting algorithms by using an information-based criterion for choosing hypotheses. In this paper, we propose a new smooth boosting algorithm with another information-based criterion based on Gini index. We show that it inherits the advantages of two approaches, smooth boosting and information-based approaches.続きを見る

本文ファイル

pdf trcs225 pdf 263 KB 166  

詳細

レコードID
査読有無
タイプ
登録日 2009.04.22
更新日 2017.01.20