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| Presentation | 2012-11-07 15:30 Online Large-margin Weight Learning for First-order Logic-based Abduction Naoya Inoue, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui (Tohoku Univ.)  IBISML2012-54 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Abduction is inference to the best explanation. Abduction has long been studied in a wide range of contexts and is widely used for modeling artificial intelligence systems, such as diagnostic systems and plan recognition systems. However, less attention has been paid to how to automatically learn score functions, which rank explanations in order of their plausibility. In this paper, we propose a supervised learning approach for first-order logic-based abduction. The contribution of this paper is the following: (i) we show how to formulate the machine learning problem of abduction with the framework of online large-margin training, which has been shown to have both predictive performance and scalability to larger problems; (ii) we extend the state-of-the-art abductive reasoning system to model the score function with a weighted linear model, which is the groundwork for the online large-margin training; (iii) we support partially-specified gold-standard explanations as training examples, where the weights are learned to rank any explanation that includes the gold-standard explanation as the best explanation; (iv) the all-in-one software package for inference and learning is made publicly available. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Abduction / Logic-based Reasoning / Online learning / Large-margin training / Structured learning / Latent variables / Passive Aggressive algorithm / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 279, IBISML2012-54, pp. 143-150, Nov. 2012. | |
| Paper # | IBISML2012-54 | |
| Date of Issue | 2012-10-31 (IBISML) | |
| 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 | IBISML2012-54 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2012-11-07 - 2012-11-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | the 15th Information-Based Induction Sciences Workshop |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2012-11-IBISML |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Online Large-margin Weight Learning for First-order Logic-based Abduction |
| Sub Title (in English) | |
| Keyword(1) | Abduction |
| Keyword(2) | Logic-based Reasoning |
| Keyword(3) | Online learning |
| Keyword(4) | Large-margin training |
| Keyword(5) | Structured learning |
| Keyword(6) | Latent variables |
| Keyword(7) | Passive Aggressive algorithm |
| Keyword(8) | |
| 1st Author's Name | Naoya Inoue |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Kazeto Yamamoto |
| 2nd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 3rd Author's Name | Yotaro Watanabe |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 4th Author's Name | Naoaki Okazaki |
| 4th Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 5th Author's Name | Kentaro Inui |
| 5th Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2012-11-07 15:30:00 |
| Presentation Time | 150 minutes |
| Registration for | IBISML |
| Paper # | IBISML2012-54 |
| Volume (vol) | vol.112 |
| Number (no) | no.279 |
| Page | pp.143-150 |
| #Pages | 8 |
| Date of Issue | 2012-10-31 (IBISML) |
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