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| Presentation | 2009-01-19 14:20 Experimental Study of Bayesian Learning using Langevin Equation in Singular Learing Machines Taruhi Iwagaki, Sumio Watanabe (Tokyo Inst. of Tech.)  NC2008-88 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Langevin equation implies an algorithm that could make samples from the stationary distribution of a biased random walk equivalent to the posterior distribution of Bayesian learning. Sampling with Langevin equation uses gradient information of the target distribution, therefore it is expected to be efficient than Metropolis algorithm especially in wide parameter space of singular learning machines like neural networks. In this paper, we will discuss experimental results and generalization errors of both Langevin algorithm and Metropolis algorithm for neural networks with practical dimension. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Singular Learning Machines / Langevin Equation / Fokker-Planck Equation / Bayesian Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 383, NC2008-88, pp. 37-42, Jan. 2009. | |
| Paper # | NC2008-88 | |
| Date of Issue | 2009-01-12 (NC) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2008-88 |
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| Conference Information | |
| Committee | NC |
| Conference Date | 2009-01-19 - 2009-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neural Dynamics, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2009-01-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Experimental Study of Bayesian Learning using Langevin Equation in Singular Learing Machines |
| Sub Title (in English) | |
| Keyword(1) | Singular Learning Machines |
| Keyword(2) | Langevin Equation |
| Keyword(3) | Fokker-Planck Equation |
| Keyword(4) | Bayesian Learning |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Taruhi Iwagaki |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
| 2nd Author's Name | Sumio Watanabe |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2009-01-19 14:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2008-88 |
| Volume (vol) | vol.108 |
| Number (no) | no.383 |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2009-01-12 (NC) |
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