| Presentation | 2004/10/12 Analysis of Ensemble Learning for Committee Machine Teacher Seiji MIYOSHI, Kazuyuki HARA, Masato OKADA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A major merit of ensemble learning is to realize the input-output relations by combining students that cannot be represented by one student. Therefore, ensemble learning in which a teacher isn't in the model space of one student is very attractive. In this paper ensemble learning, in which a teacher and students are a committee machine and simple perceptrons respectively, is discussed based on online learning theory and statistical mechanics. Hebbian learning gathers all students to the center of teacher units. Perceptron learning keeps a variety of students and the effect of ensemble doesn't disappear. AdaTron learning shows a kind of over-learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ensemble learning / online learning / committee machine / generalization error |
| Paper # | NC2004-79 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/10/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
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| Paper Information | |
| 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) | Analysis of Ensemble Learning for Committee Machine Teacher |
| Sub Title (in English) | |
| Keyword(1) | ensemble learning |
| Keyword(2) | online learning |
| Keyword(3) | committee machine |
| Keyword(4) | generalization error |
| 1st Author's Name | Seiji MIYOSHI |
| 1st Author's Affiliation | Kobe City College of Technology() |
| 2nd Author's Name | Kazuyuki HARA |
| 2nd Author's Affiliation | Tokyo Metropolitan College of Technology |
| 3rd Author's Name | Masato OKADA |
| 3rd Author's Affiliation | Division of Transdisciplinary Sciences, Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute:JST PRESTO |
| Date | 2004/10/12 |
| Paper # | NC2004-79 |
| Volume (vol) | vol.104 |
| Number (no) | 349 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |