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| Presentation | 2017-06-19 13:00 [Invited Talk] Composite Variables and Ensemble: Introduction to Forest Regression and Additive Models Ichigaku Takigawa (Hokkaido Univ.)  CAS2017-8 VLD2017-11 SIP2017-32 MSS2017-8 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Machine learning, supervised machine learning in particular, now becomes one of daily tools in signal processing such as image processing, audio processing, intelligent measurements and communications. Demon- strating its performance for real-world problems at predictive modelling competitions such as Kaggle, tree-based ensembles are now getting popular in machine learning applications. This talk will give an introduction to these models including forest regressions and additive models such as Random Forests and DMLC’s XGBoost, providing a consistent view to many models by rethinking these from two keywords ’composite variables’ and ’ensemble’. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Composite Variables / Interactions / Ensemble / Forest Regression / Additive Models / Interpretability / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 98, SIP2017-32, pp. 43-43, June 2017. | |
| Paper # | SIP2017-32 | |
| Date of Issue | 2017-06-12 (CAS, VLD, SIP, MSS) | |
| 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 | CAS2017-8 VLD2017-11 SIP2017-32 MSS2017-8 |
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| Conference Information | |
| Committee | SIP CAS MSS VLD |
| Conference Date | 2017-06-19 - 2017-06-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Niigata University, Ikarashi Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2017-06-SIP-CAS-MSS-VLD |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Composite Variables and Ensemble: Introduction to Forest Regression and Additive Models |
| Sub Title (in English) | |
| Keyword(1) | Composite Variables |
| Keyword(2) | Interactions |
| Keyword(3) | Ensemble |
| Keyword(4) | Forest Regression |
| Keyword(5) | Additive Models |
| Keyword(6) | Interpretability |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Ichigaku Takigawa |
| 1st Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-06-19 13:00:00 |
| Presentation Time | 60 minutes |
| Registration for | SIP |
| Paper # | CAS2017-8, VLD2017-11, SIP2017-32, MSS2017-8 |
| Volume (vol) | vol.117 |
| Number (no) | no.96(CAS), no.97(VLD), no.98(SIP), no.99(MSS) |
| Page | p.43 |
| #Pages | 1 |
| Date of Issue | 2017-06-12 (CAS, VLD, SIP, MSS) |
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