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 Japanese) | (See Japanese page) |
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 0 1.5. But it is an open problem whether the optimal rate can be achieved in case of 1
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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 |
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Conference Date | 2011/3/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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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 |