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Paper Abstract and Keywords
Presentation 2017-11-10 13:00
[Poster Presentation] Correcting selection bias in active learning based on selective inference framework
Yu Inatsu (RIKEN), Ichiro Takeuchi (Nitech/RIKEN/NIMS) IBISML2017-74
Abstract (in Japanese) (See Japanese page) 
(in English) Consider the active learning that constructs regression model from given data and actually observes the value at the point where the predicted value is maximized.
In order to evaluate the goodness of this strategy, consider the hypothesis test that whether the expected value of the value at the candidate point is better than the current best.
However, if the above hypothesis is tested by classical testing methods, obtained results have a selection bias. As a result, the p value is erroneously evaluated.
In this paper, we use the concept of selective inference, and
evaluate the correct p value.
Keyword (in Japanese) (See Japanese page) 
(in English) Active Learning / Hypothesis Testing / Selective Inference / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 293, IBISML2017-74, pp. 289-296, Nov. 2017.
Paper # IBISML2017-74 
Date of Issue 2017-11-02 (IBISML) 
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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Conference Information
Committee IBISML  
Conference Date 2017-11-08 - 2017-11-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2017) 
Paper Information
Registration To IBISML 
Conference Code 2017-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Correcting selection bias in active learning based on selective inference framework 
Sub Title (in English)  
Keyword(1) Active Learning  
Keyword(2) Hypothesis Testing  
Keyword(3) Selective Inference  
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1st Author's Name Yu Inatsu  
1st Author's Affiliation RIKEN (RIKEN)
2nd Author's Name Ichiro Takeuchi  
2nd Author's Affiliation Nagoya Institute of Technology/RIKEN/National Institute for Materials Science (Nitech/RIKEN/NIMS)
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Speaker Author-1 
Date Time 2017-11-10 13:00:00 
Presentation Time 150 minutes 
Registration for IBISML 
Paper # IBISML2017-74 
Volume (vol) vol.117 
Number (no) no.293 
Page pp.289-296 
#Pages
Date of Issue 2017-11-02 (IBISML) 


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