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Paper Abstract and Keywords
Presentation 2018-06-13 10:00
Active Level Set Estimation with Multi-fidelity Evaluations
Shion Takeno (Nitech), Hitoshi Fukuoka (Nagoya Univ.), Yuhki Tsukada (Nagoya Univ./JST), Toshiyuki Koyama (Nagoya Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-1
Abstract (in Japanese) (See Japanese page) 
(in English) Level set estimation is a problem to identify a level set of an unknown function, which is defined by whether the function values are larger or smaller than a certain threshold. In practice, low cost approximate functions to the true function are often available. In this paper, we model the unknown true function and their approximate functions by multi-fidelity Gaussian process regression, based on which we propose an entropy-based active level set estimation method for cost-effective exploration. We demonstrate efficiency of our approach based on a parameter exploration problem in material science.
Keyword (in Japanese) (See Japanese page) 
(in English) Gaussian Process / Multi-fidelity / Level Set Estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 81, IBISML2018-1, pp. 1-8, June 2018.
Paper # IBISML2018-1 
Date of Issue 2018-06-06 (IBISML) 
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)
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Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2018-06-13 - 2018-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To IBISML 
Conference Code 2018-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Active Level Set Estimation with Multi-fidelity Evaluations 
Sub Title (in English)  
Keyword(1) Gaussian Process  
Keyword(2) Multi-fidelity  
Keyword(3) Level Set Estimation  
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1st Author's Name Shion Takeno  
1st Author's Affiliation Nagoya Institute of Technology (Nitech)
2nd Author's Name Hitoshi Fukuoka  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Yuhki Tsukada  
3rd Author's Affiliation Nagoya University/Japan Science and Technology Agency (Nagoya Univ./JST)
4th Author's Name Toshiyuki Koyama  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Motoki Shiga  
5th Author's Affiliation Gifu University/Japan Science and Technology Agency/Institute of Physical and Chemical Research (Gifu Univ./JST/RIKEN)
6th Author's Name Ichiro Takeuchi  
6th Author's Affiliation Nagoya Institute of Technology National Institute for Material Science/Institute of Physical and Chemical Research (NITech/NIMS/RIKEN)
7th Author's Name Masayuki Karasuyama  
7th Author's Affiliation Nagoya Institute of Technology/National Institute for Material Science/Japan Science and Technology Agency (NITech/NIMS/JST)
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Speaker Author-1 
Date Time 2018-06-13 10:00:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2018-1 
Volume (vol) vol.118 
Number (no) no.81 
Page pp.1-8 
#Pages
Date of Issue 2018-06-06 (IBISML) 


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