Presentation | 2003/7/22 [Tutorial] Ensemble learning Masato OKADA, Kazuyuki HARA, Seiji MIYOSHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We discuss emsemble learning algorithms, i. e., bagging and parallel boosting based on the on-line learning from statistical mechnical point of view. We treat cases that both of teacher and students are simple perceptrons. We show the the generalization error of emsemble learnig machine depends only on the normls of the weight vectors of student perceptrons, overlaps (direction cosine) between the weight vector of the teacher perceptron and those of the student perceptrons, and correlations between the weight vectors of the student percetrons. We derive differential equations to describe the dynamics of these macrosocpic variables. Applying these equations to a linear perceptron case and a nonlinear perceptron case, we discuss properties of the bagging and the parallel boosting in these cases. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Ensemble learning / Bagging / Parallel boosting / On-line learning / Statistical mechanics / Perceptron |
Paper # | NC2003-35 |
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Committee | NC |
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Conference Date | 2003/7/22(1days) |
Place (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) | [Tutorial] Ensemble learning |
Sub Title (in English) | |
Keyword(1) | Ensemble learning |
Keyword(2) | Bagging |
Keyword(3) | Parallel boosting |
Keyword(4) | On-line learning |
Keyword(5) | Statistical mechanics |
Keyword(6) | Perceptron |
1st Author's Name | Masato OKADA |
1st Author's Affiliation | RIKEN Brain Science Institute:"Intelligent Cooperation and Control" PRESTO, JST() |
2nd Author's Name | Kazuyuki HARA |
2nd Author's Affiliation | Tokyo Metropolitan College of Technology |
3rd Author's Name | Seiji MIYOSHI |
3rd Author's Affiliation | Kobe City College of Technology |
Date | 2003/7/22 |
Paper # | NC2003-35 |
Volume (vol) | vol.103 |
Number (no) | 228 |
Page | pp.pp.- |
#Pages | 6 |
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