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Paper Abstract and Keywords
Presentation 2013-03-12 21:20
Pitching tactics estimation based on probabilistic causal structure among game components learned from the MLB detailed score data
Uehara, Syuichi Arai (Tokyo City Univ.) AI2012-48
Abstract (in Japanese) (See Japanese page) 
(in English) Deterministic causal structure can not be found because of that effective tactics for baseball pitcher is a complex system.
Therefore, tactical decision modeling is difficult.
We propose a model of tactical decisions for pitching by learning probabilistic causal structure of the element group making up the game from a MLB scores detailed data using Bayesian Network.
We have defined a characteristic and calculated the distance amount players in order to increase the number of training data.
We decided the similar players distance by change the distance and perform pitching tactics estimation.
Moreover, we discuss the estimation results using this model.
In addition, we perform the strategy estimation using these models on various situations and show the emerging pitching strategies using this method.
Keyword (in Japanese) (See Japanese page) 
(in English) Datamining / Complex systems / Bayesina network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 477, AI2012-48, pp. 43-48, March 2013.
Paper # AI2012-48 
Date of Issue 2013-03-04 (AI) 
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)
Download PDF AI2012-48

Conference Information
Committee AI JSAI-DOCMAS JSAI-KBS JSAI-SAI IPSJ-ICS  
Conference Date 2013-03-10 - 2013-03-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Social System and Information Technology 
Paper Information
Registration To AI 
Conference Code 2013-03-AI-DOCMAS-KBS-SAI-ICS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pitching tactics estimation based on probabilistic causal structure among game components learned from the MLB detailed score data 
Sub Title (in English)  
Keyword(1) Datamining  
Keyword(2) Complex systems  
Keyword(3) Bayesina network  
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1st Author's Name Uehara  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Syuichi Arai  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2013-03-12 21:20:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2012-48 
Volume (vol) vol.112 
Number (no) no.477 
Page pp.43-48 
#Pages 6 
Date of Issue 2013-03-04 (AI) 

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