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| Paper Abstract and Keywords | ||
| Presentation | 2013-04-18 16:15 [Special Invited Talk] Discovering Latent Structure by Statistical Machine Learning Methods Takeshi Yamada (NTT)  CS2013-4 CQ2013-5 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, Big-data analysis attracts a lot of attentions. In such data analysis, it is important to discover and extract latent structures that are not directly observable but inherent in the given data to understand the nature of the data and predict their future. In this talk, recent progress of the methods to discover latent structures from the data based on statistical machine learning methods and thier applications are reviewed in plain language, especially in the context of conventional clustering methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Topic models / clustering / co-clustering / Dirichlet proces / statistical machine learning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 6, CS2013-4, pp. 19-24, April 2013. | |
| Paper # | CS2013-4 | |
| Date of Issue | 2013-04-11 (CS, CQ) | |
| 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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | CS2013-4 CQ2013-5 |
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| Conference Information | |
| Committee | CQ CS |
| Conference Date | 2013-04-18 - 2013-04-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sado Island Development Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SDN (Software-Defined Network), Cloud, Network Virtualization, Service Quality, Contents Delivery, etc |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2013-04-CQ-CS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Discovering Latent Structure by Statistical Machine Learning Methods |
| Sub Title (in English) | |
| Keyword(1) | Topic models |
| Keyword(2) | clustering |
| Keyword(3) | co-clustering |
| Keyword(4) | Dirichlet proces |
| Keyword(5) | statistical machine learning |
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| 1st Author's Name | Takeshi Yamada |
| 1st Author's Affiliation | NTT (NTT) |
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| Speaker | Author-1 |
| Date Time | 2013-04-18 16:15:00 |
| Presentation Time | 45 minutes |
| Registration for | CS |
| Paper # | CS2013-4, CQ2013-5 |
| Volume (vol) | vol.113 |
| Number (no) | no.6(CS), no.7(CQ) |
| Page | pp.19-24(CS), pp.25-30(CQ) |
| #Pages | 6 |
| Date of Issue | 2013-04-11 (CS, CQ) |
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