Presentation 2014-09-01
A Note on Improvement in the Rate of a Prediction Error of AdaBoost in Pattern Recognition
Hideyuki MASUI, Ryoma TSUZUKI, Nozomi MIYA, Toshiyasu MATSUSHIMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) AdaBoost is an algorithm used for pattern recognition. This algorithm successively makes the model which minimizes an error for sample data. However, to consider prediction, there is no guarantee that such model is optimum. Regarding this issue, there are many studies about regularization method and variable selection method. Forward selection method is one of the methods of variable selection method and Stagewise is one of the methods of forward selection method. Each iteration, Stagewise selects one variable. Stagewise updates parameters slightly increase and not minimizes an error for sample data. It is known that Stagewise improves the rate of a prediction error. In this research, we apply the idea of Stagewise for AdaBoost and consider improvement the rate of a prediction error.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) AdaBoost / Stagewise / rate of a prediction error / variable selection
Paper # PRMU2014-36,IBISML2014-17
Date of Issue

Conference Information
Committee PRMU
Conference Date 2014/8/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Improvement in the Rate of a Prediction Error of AdaBoost in Pattern Recognition
Sub Title (in English)
Keyword(1) AdaBoost
Keyword(2) Stagewise
Keyword(3) rate of a prediction error
Keyword(4) variable selection
1st Author's Name Hideyuki MASUI
1st Author's Affiliation Department of Mathematics and Applied Mathematics, Graduate School of Fundamental Science and Engineering, Waseda University()
2nd Author's Name Ryoma TSUZUKI
2nd Author's Affiliation Department of Mathematics and Applied Mathematics, Graduate School of Fundamental Science and Engineering, Waseda University
3rd Author's Name Nozomi MIYA
3rd Author's Affiliation Department of Mathematics and Applied Mathematics, Graduate School of Fundamental Science and Engineering, Waseda University
4th Author's Name Toshiyasu MATSUSHIMA
4th Author's Affiliation Department of Applied Mathematics, School of Fundamental Science and Engineering, Waseda University
Date 2014-09-01
Paper # PRMU2014-36,IBISML2014-17
Volume (vol) vol.114
Number (no) 197
Page pp.pp.-
#Pages 6
Date of Issue