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| Presentation | 2022-07-22 14:40 Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.)  IT2022-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative models. By treating decision trees as data-generative models, Bayes optimal prediction can be obtained and statistical optimality can be given to the prediction. However, computing Bayes optimal prediction has computational complexity. In this study, we propose a unified and parallel algorithm for constructing the set of Meta-trees required for the approximate computation of Bayes optimal prediction. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Decision tree / Generative model / Model tree / Bayes Decision Theory / Meta-tree / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 128, IT2022-27, pp. 61-66, July 2022. | |
| Paper # | IT2022-27 | |
| Date of Issue | 2022-07-14 (IT) | |
| 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 | IT2022-27 |
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| Conference Information | |
| Committee | IT |
| Conference Date | 2022-07-21 - 2022-07-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okayama University of Science |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Freshman session, General |
| Paper Information | |
| Registration To | IT |
| Conference Code | 2022-07-IT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model |
| Sub Title (in English) | |
| Keyword(1) | Decision tree |
| Keyword(2) | Generative model |
| Keyword(3) | Model tree |
| Keyword(4) | Bayes Decision Theory |
| Keyword(5) | Meta-tree |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Keito Tajima |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Naoki Ichijo |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Koshi Shimada |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Toshiyasu Matsushima |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-07-22 14:40:00 |
| Presentation Time | 25 minutes |
| Registration for | IT |
| Paper # | IT2022-27 |
| Volume (vol) | vol.122 |
| Number (no) | no.128 |
| Page | pp.61-66 |
| #Pages | 6 |
| Date of Issue | 2022-07-14 (IT) |
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