Presentation 2011-03-29
Asymptotic Analysis of the Estimators in Regression Analysis and the Application to Machine Learning
Takanori AYANO,
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Abstract(in English) In machine learning, the method of regression analysis is very important. In this presentation, we will state the rate of convergence for nearest neighbor estimators in case that the regression function is (p,C)-smooth. It is known that the optimal rate is achievable in case of 01.5. But it is an open problem whether the optimal rate can be achieved in case of 1
Keyword(in Japanese) (See Japanese page)
Keyword(in English) rate of convergence / nearest neighbor / regression analysis / nonparametric estimation / plug-in
Paper # IBISML2010-109
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Conference Information
Committee IBISML
Conference Date 2011/3/21(1days)
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Paper Information
Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Asymptotic Analysis of the Estimators in Regression Analysis and the Application to Machine Learning
Sub Title (in English)
Keyword(1) rate of convergence
Keyword(2) nearest neighbor
Keyword(3) regression analysis
Keyword(4) nonparametric estimation
Keyword(5) plug-in
1st Author's Name Takanori AYANO
1st Author's Affiliation Department of Mathematics Graduate School of Science Osaka University()
Date 2011-03-29
Paper # IBISML2010-109
Volume (vol) vol.110
Number (no) 476
Page pp.pp.-
#Pages 4
Date of Issue