Presentation | 2005/6/16 Statistical Mechanism of Mutual Learning with Latent Teacher Kazuyuki HARA, Masato OKADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In Mutual learning, two learning machines (students) learn each other and a student acts as a teacher to another student. Therefore, teacher is not used in mutual learning. We analyze dynamics of mutual learning with latent teacher by using a statistical mechanics method. We assume that overlap between latent teacher and students are not zero before the learning. From our analysis, we show that the overlap between the latent teacher and student becomes larger after mutual learning while students did not learn teacher. We also show that asymptotic property of the generalization error of mutual learning is equal to that of Bagging uses not learned students. At the early stage of mutual learning, generalization error becomes minimum, and the generalization error at minimum is larger than that of parallel boosting uses not learned students, are shown. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Mutual learning / Latent teacher / on-line learning / ensemble learning / Statistical mechanics |
Paper # | NC2005-11 |
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Committee | NC |
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Conference Date | 2005/6/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Statistical Mechanism of Mutual Learning with Latent Teacher |
Sub Title (in English) | |
Keyword(1) | Mutual learning |
Keyword(2) | Latent teacher |
Keyword(3) | on-line learning |
Keyword(4) | ensemble learning |
Keyword(5) | Statistical mechanics |
1st Author's Name | Kazuyuki HARA |
1st Author's Affiliation | Department of Electronics and Information, Tokyo Metropolitan College of Technology() |
2nd Author's Name | Masato OKADA |
2nd Author's Affiliation | Division, Osaka Corporation:Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN:Intellegent Cooperation and Control, PRESTO, Japan Science and Technology Agency |
Date | 2005/6/16 |
Paper # | NC2005-11 |
Volume (vol) | vol.105 |
Number (no) | 130 |
Page | pp.pp.- |
#Pages | 6 |
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