Paper Abstract and Keywords |
Presentation |
2022-06-27 14:00
Transformer based model for Point Process with past sequence-representative vector Fumiya Nishizawa, Sujun Hong, Hirotaka Hachiya (Wakayama Univ.) NC2022-1 IBISML2022-1 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, a Transformer-based partially trainable point process has been proposed, where a feature vector is extracted from past event sequence to predict the future event. However, high dependencies of the feature on last event and
limitation of handmade designed hazard function would cause deterioration peformance. To overcome these problems, we
propose a Transformer-based fully trainable point process, where multiple trainable vectors are embedded into the past event
sequence and are transformed through an attention mechanism to realize adaptive and general approximation and prediction.
We show the effectiveness of our proposed method through experiments on two datasets. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
point process / Transformer / seismic event / Hawkes process / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 90, IBISML2022-1, pp. 1-5, June 2022. |
Paper # |
IBISML2022-1 |
Date of Issue |
2022-06-20 (NC, IBISML) |
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) |
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NC2022-1 IBISML2022-1 |
Conference Information |
Committee |
NC IBISML IPSJ-BIO IPSJ-MPS |
Conference Date |
2022-06-27 - 2022-06-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
IBISML |
Conference Code |
2022-06-NC-IBISML-BIO-MPS |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Transformer based model for Point Process with past sequence-representative vector |
Sub Title (in English) |
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Keyword(1) |
point process |
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Transformer |
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seismic event |
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Hawkes process |
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1st Author's Name |
Fumiya Nishizawa |
1st Author's Affiliation |
Graduate School of System Engineering, Wakayama University (Wakayama Univ.) |
2nd Author's Name |
Sujun Hong |
2nd Author's Affiliation |
Graduate School of System Engineering, Wakayama University (Wakayama Univ.) |
3rd Author's Name |
Hirotaka Hachiya |
3rd Author's Affiliation |
Graduate School of System Engineering, Wakayama University (Wakayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-06-27 14:00:00 |
Presentation Time |
25 minutes |
Registration for |
IBISML |
Paper # |
NC2022-1, IBISML2022-1 |
Volume (vol) |
vol.122 |
Number (no) |
no.89(NC), no.90(IBISML) |
Page |
pp.1-5 |
#Pages |
5 |
Date of Issue |
2022-06-20 (NC, IBISML) |