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| Presentation | 2014-07-18 10:20 A Prediction Method based on Weighted Ensemble of Decision Tree on Alternating Decision Forests. Shotaro Misawa, Naohiro Fujiwara, Kenta Mikawa, Masayuki Goto (Waseda Univ.)  IT2014-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we focus on the Alternating Decision Forests (ADF). The ADF introduces the weights which represent the degree of prediction accuracy for the training data. These weights are only used when growing decision trees in the learning phase to improve the predictability for all training data. By using the weights in the prediction phase, it is possible to construct a prediction considering prediction confidence of each decision tree’s leaf node. Moreover, by pruning the decision trees, the generalization ability can also be improved. Therefore, we propose the method introducing AIC criterion to prune brunches of the trees and using the weights when predicting the category label of a new input data. Our proposal can be interpreted as the predictive method to weaken the influence of the low confidence outputs and strengthen that of the high reliable outputs. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Data mining / Alternating Decision Forests / Decision Tree / ensemble / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 138, IT2014-29, pp. 101-106, July 2014. | |
| Paper # | IT2014-29 | |
| Date of Issue | 2014-07-10 (IT) | |
| 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 | IT2014-29 |
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| Conference Information | |
| Committee | IT |
| Conference Date | 2014-07-17 - 2014-07-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kobe University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | freshman session, general |
| Paper Information | |
| Registration To | IT |
| Conference Code | 2014-07-IT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Prediction Method based on Weighted Ensemble of Decision Tree on Alternating Decision Forests. |
| Sub Title (in English) | |
| Keyword(1) | Data mining |
| Keyword(2) | Alternating Decision Forests |
| Keyword(3) | Decision Tree |
| Keyword(4) | ensemble |
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| 1st Author's Name | Shotaro Misawa |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Naohiro Fujiwara |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Kenta Mikawa |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Masayuki Goto |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-07-18 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | IT |
| Paper # | IT2014-29 |
| Volume (vol) | vol.114 |
| Number (no) | no.138 |
| Page | pp.101-106 |
| #Pages | 6 |
| Date of Issue | 2014-07-10 (IT) |
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