Paper Abstract and Keywords |
Presentation |
2007-03-14 10:10
Unbiased Learning for Hierarchical Models Masashi Sekino, Katsumi Nitta (Tokyo Tech) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is known that overfitting occurs when a conventional statistical learning method such as maximum likelihood estimation, maximum a posteriori estimation or Bayesian estimation is applied to hierarchical models. In this paper, we clarify the cause of why overfitting occurs when a conventional statistical learning method is applied to hierarchical models, and propose “Unbiased Learning” which is a learning framework based on unbiased likelihood (information criterion) for hierarchical models. We confirm the effectiveness of unbiased learning when applied to kernel regression model. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
hierarchical model / statistical learning / information criterion / model selection / overfitting / / / |
Reference Info. |
IEICE Tech. Rep., vol. 106, no. 588, NC2006-136, pp. 109-114, March 2007. |
Paper # |
NC2006-136 |
Date of Issue |
2007-03-07 (NC) |
ISSN |
Print edition: ISSN 0913-5685 |
Download PDF |
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Conference Information |
Committee |
NC |
Conference Date |
2007-03-14 - 2007-03-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tamagawa University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General |
Paper Information |
Registration To |
NC |
Conference Code |
2007-03-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Unbiased Learning for Hierarchical Models |
Sub Title (in English) |
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hierarchical model |
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statistical learning |
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information criterion |
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model selection |
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overfitting |
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1st Author's Name |
Masashi Sekino |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
2nd Author's Name |
Katsumi Nitta |
2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
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Speaker |
Author-1 |
Date Time |
2007-03-14 10:10:00 |
Presentation Time |
20 minutes |
Registration for |
NC |
Paper # |
NC2006-136 |
Volume (vol) |
vol.106 |
Number (no) |
no.588 |
Page |
pp.109-114 |
#Pages |
6 |
Date of Issue |
2007-03-07 (NC) |