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Boosting算法研究 被引量:1

A Study of Boosting Algorithm
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摘要 Boosting算法是近年来在机器学习领域中一种流行的用来提高学习精度的算法。文中以AdaBoost算法为例来介绍Boosting的基本原理。 Boosting is a general method for improving the accuracy of any given learning algorithm.This short overview paper introduces the boosting algorithm AdaBoost,and explains the underlying theory of boosting.
作者 路刚 陈永 范永欣 胡成 LU Gang1,CHEN Yong1,FAN Yong-xin2,HU Cheng1(1.The Artillery Academy of PLA,Hefei 230031,China;2.China Construction Bank Yunnan Branch,Kunming 650021,China)
出处 《电脑知识与技术》 2008年第12X期2698-2699,2708,共3页 Computer Knowledge and Technology
关键词 机器学习 BOOSTING 泛化误差 分类 machine learning boosting generalization error classification
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参考文献6

  • 1Valiant L G.Atheory of the learnable[].Communications of the ACM.1984
  • 2Schapire R E,Freund Y,Bartlett P,et al.Boosting the margin: A new explanation for the effectiveness of voting methods[].The Annals of Statistics.1998
  • 3Yoav Freund,,Robert E Schapire.Ashort introductionto boosting[].Journal of Japanese Society for Artificial Intelligence.1999
  • 4Yoav Freund,and Robert E Schapire.Experiments with a new boosting algorithm[].Machine Learning: Proceedings of the Thirteenth International Conferences.1996
  • 5T. Zhang.Statistical behavior and consistency of classification methods based on convex risk minimization[].The Annals of Statistics.2004
  • 6Friedman,J.H.,Hastie,T.,Tibshirani,R.“Additive Logistic Regression: A Statistical View of Boosting”[].The Annals of Statistics.2000

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