Paper Abstract and Keywords |
Presentation |
2016-03-25 15:45
Efficient Mondrian Forests by Introducing Supervised Learning Ryuei Murata (Chubu Univ.), Akisato Kimura, Yoshitaka Ushiku (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2015-73 PRMU2015-196 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Mondrian Forests is an online learning method based on framework of Random Forests. At the online learning, Mondrian Forests add a node where is judged as necessary for updating by based on difference between trained data and additional data. This makes fast online training of decision trees. Since Mondrian Forests use may label information at the updating, tree structure may contain unnecessary nodes. Therefore, this paper presents an efficient framework of online learning for Mondrian Forests by introducing supervised learning. The proposed method uses label information to design splitting function, and to decide whether additional node is necessary or not. The proposed method can reduce the size of decision tree about 68%, comparing with the conventional method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Random Forests / Mondrian Forests / Machine Learning / Online Learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 517, PRMU2015-196, pp. 191-196, March 2016. |
Paper # |
PRMU2015-196 |
Date of Issue |
2016-03-17 (BioX, PRMU) |
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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BioX2015-73 PRMU2015-196 |
Conference Information |
Committee |
PRMU BioX |
Conference Date |
2016-03-24 - 2016-03-25 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2016-03-PRMU-BioX |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Efficient Mondrian Forests by Introducing Supervised Learning |
Sub Title (in English) |
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Keyword(1) |
Random Forests |
Keyword(2) |
Mondrian Forests |
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Machine Learning |
Keyword(4) |
Online Learning |
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1st Author's Name |
Ryuei Murata |
1st Author's Affiliation |
Chubu University (Chubu Univ.) |
2nd Author's Name |
Akisato Kimura |
2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
3rd Author's Name |
Yoshitaka Ushiku |
3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
4th Author's Name |
Takayoshi Yamashita |
4th Author's Affiliation |
Chubu University (Chubu Univ.) |
5th Author's Name |
Yuji Yamauchi |
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Chubu University (Chubu Univ.) |
6th Author's Name |
Hironobu Fujiyoshi |
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Chubu University (Chubu Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-03-25 15:45:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
BioX2015-73, PRMU2015-196 |
Volume (vol) |
vol.115 |
Number (no) |
no.516(BioX), no.517(PRMU) |
Page |
pp.191-196 |
#Pages |
6 |
Date of Issue |
2016-03-17 (BioX, PRMU) |
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