Paper Abstract and Keywords |
Presentation |
2013-07-23 16:00
Gibbs Sampling Estimation of Maximum Margin Supervised Topic Models for Regression Ryosuke Ueno, Koji Eguchi (Kobe Univ.) DE2013-31 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Regression based on latent topics is one of the promising approaches for analyzing a collection of documents associated with continuous labels. MedLDA is one such model that was proposed recently. For the inference of MedLDA, a variational Bayesian method has been used. Very recently, some other inference methods such as collapsed Gibbs sampling have been applied to this model; however, they have not been sufficiently explored. In this paper, we formulate an inference method based on collapsed Gibbs sampling for MedLDA for the purpose of regression analysis, and show the results of experimental evaluation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
topic model / maximum margin / Gibbs sampling / regression analysis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 150, DE2013-31, pp. 187-192, July 2013. |
Paper # |
DE2013-31 |
Date of Issue |
2013-07-15 (DE) |
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) |
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DE2013-31 |
Conference Information |
Committee |
DE IPSJ-DBS IPSJ-IFAT |
Conference Date |
2013-07-22 - 2013-07-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Data Management, Information Search and Knowledge Retrieval for Big Data, etc. |
Paper Information |
Registration To |
DE |
Conference Code |
2013-07-DE-DBS-IFAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Gibbs Sampling Estimation of Maximum Margin Supervised Topic Models for Regression |
Sub Title (in English) |
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topic model |
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maximum margin |
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Gibbs sampling |
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regression analysis |
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1st Author's Name |
Ryosuke Ueno |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
2nd Author's Name |
Koji Eguchi |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-07-23 16:00:00 |
Presentation Time |
40 minutes |
Registration for |
DE |
Paper # |
DE2013-31 |
Volume (vol) |
vol.113 |
Number (no) |
no.150 |
Page |
pp.187-192 |
#Pages |
6 |
Date of Issue |
2013-07-15 (DE) |
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