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| Presentation | 2018-08-27 15:50 Bayesian Inference for Field of Physical Quantity from Data obtained at several Locations Masato Ota, Takeshi Okadome (KG Univ.)  AI2018-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a novel method for estimating the physical quantity at every location (physical quan- tity field) from sensor data obtained at several locations of the environment. We use the low precision sensors that are not calibrated and the high precision sensors that are fewer than those sensors. When the physical quantity field is discontinuous, the estimation accuracy decreases with the existing method. In this paper, A probabilistic generation model is constructed and the posterior probability of the field is obtained by variational Bayes in consideration of the systematic error of the low precision sensors and the discontinuity of the physical quantity field. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Bayesian Inference / Variational Bayes / Unsupervised Learning / Gaussian process / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 197, AI2018-23, pp. 55-60, Aug. 2018. | |
| Paper # | AI2018-23 | |
| Date of Issue | 2018-08-20 (AI) | |
| ISSN | 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 | AI2018-23 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2018-08-27 - 2018-08-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2018-08-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Bayesian Inference for Field of Physical Quantity from Data obtained at several Locations |
| Sub Title (in English) | |
| Keyword(1) | Bayesian Inference |
| Keyword(2) | Variational Bayes |
| Keyword(3) | Unsupervised Learning |
| Keyword(4) | Gaussian process |
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| 1st Author's Name | Masato Ota |
| 1st Author's Affiliation | Kwansei Gakuin University (KG Univ.) |
| 2nd Author's Name | Takeshi Okadome |
| 2nd Author's Affiliation | Kwansei Gakuin University (KG Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-08-27 15:50:00 |
| Presentation Time | 25 minutes |
| Registration for | AI |
| Paper # | AI2018-23 |
| Volume (vol) | vol.118 |
| Number (no) | no.197 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2018-08-20 (AI) |
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