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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, WBS, RCC | 2023-12-22 11:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Asynchronous Multihop Wireless Network Control System Koki Yoshida, Koji Ishii (Kagawa Univ.)  WBS2023-51 ITS2023-34 RCC2023-45 |
A multi-hop control network (MHCN) has been proposed, wherein multiple controllers control multiple controlled ob-jects ... [more] | WBS2023-51 ITS2023-34 RCC2023-45 pp.117-122 |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| IN, CCS (Joint) |
2022-08-05 10:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Detecting causality for spike trains based on reconstructing dynamical system from inter-spike intervals Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CCS2022-36 |
In this report, by modifying a nonlinear method of detecting causality, we propose a method of detecting causality for p... [more] | CCS2022-36 pp.48-53 |
| IT | 2022-07-22 13:50 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
An Efficient Algorithm for Optimal Decision on Piecewise Linear Regression Model by Bayes Decision Theory Noboru Namegaya, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-25 |
In this study, we propose a Beyes-optimal prediction method on a piecewise linear regression model by Bayes decision the... [more] | IT2022-25 pp.51-55 |
| IT | 2022-07-22 14:15 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A Study on Multilevel Coefficient Linear Regression Model and an Optimal Prediction for Multilevel Data by Bayes Decision Theory Kohei Horinouchi, Naoki Ichijo, Taisuke Ishiwatari, Toshiyasu Matsushima (Waseda Univ.) IT2022-26 |
It is common practice to apply Multilevel Model (Linear Mixed Model, Hierarchical Linear Model) for the data sampled fro... [more] | IT2022-26 pp.56-60 |
| CAS, SIP, VLD, MSS | 2022-06-17 14:55 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Construction of scoring probability model based on service landing location and ranking points in men's professional tennis matches Fumiya Shimizu, Eiji Konaka (Meijo Univ.) CAS2022-16 VLD2022-16 SIP2022-47 MSS2022-16 |
In tennis matches, service is regarded as the most important shot that affects the match outcome. The main objective of... [more] |
CAS2022-16 VLD2022-16 SIP2022-47 MSS2022-16 pp.84-89 |
| SS, MSS | 2022-01-11 17:55 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Constructon of Real-Time Win Probability Model in B.LEAGUE Koji Sugie, Eiji Konaka (Meijo Univ.) MSS2021-45 SS2021-32 |
Recently, it is widely investigated that the construction of mathematical models calculating predicted win probability f... [more] | MSS2021-45 SS2021-32 pp.78-82 |
| SIS, ITE-BCT | 2021-10-07 11:40 |
Online | Online | Wireless Channel Prediction with Gaussian Process Yitu Wang (NTT), Takayuki Nakachi (former NTT), Takeru Inoue, Toru Mano, Kudo Riichi (NTT) SIS2021-12 |
With accurate knowledge of future Channel State Information (CSI), it becomes possible to better manipulate the wireless... [more] | SIS2021-12 pp.11-16 |
| IT | 2021-07-09 13:00 |
Online | Online | Bayesian Optimal Prediction and Its Approximation Algorithm for the Difference of Response Variables with and without Measures Considering Individual Differences by Assuming Latent Clusters Taisuke Ishiwatari (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-23 |
In observational studies, there are problems such as "the measure can be given only once to the target" and "the charact... [more] | IT2021-23 pp.45-50 |
| SIS | 2021-03-05 10:00 |
Online | Online | Prediction of Network Traffic through Gaussian Process Yitu Wang, Takayuki Nakachi (NTT) SIS2020-54 |
With accurate network traffic prediction, future communication networks can realize self-management and enjoy intelligen... [more] | SIS2020-54 pp.103-108 |
| PRMU | 2020-12-17 16:30 |
Online | Online | Towards Discovery of Relevant Latent Factors with Limited Data Mohit Chhabra, Quan Kong, Tomoaki Yoshinaga (Hitachi) PRMU2020-49 |
The remarkable effectiveness of neural networks on vision tasks has led to an interest in adapting neural network models... [more] | PRMU2020-49 pp.63-68 |
| IT | 2019-07-25 14:25 |
Tokyo | NATULUCK-Iidabashi-Higashiguchi Ekimaeten | Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables Haruka Murayama, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2019-16 |
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] | IT2019-16 pp.5-10 |
| R | 2019-06-14 15:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Identification comparison of software fault-prone modules using nonlinear logistic regression models Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12 |
In this article, we compare several non-linear logistic regression models used in a fault-prone identification problem... [more] |
R2019-12 pp.19-24 |
| ITS, IEE-ITS | 2019-03-04 10:55 |
Kyoto | Kyoto Univ. | Improvement in travel time prediction based on linear regression models Shigeharu Toyoda, Ken-ichi Masuda, Kentarou Takaki (SEI) ITS2018-87 |
In the case of the database of the Japan Digital Road Map Association, there are 1.54 million road links even in Japan's... [more] | ITS2018-87 pp.5-10 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Nonlinear Time Series Prediction using Multi-Step Learning Echo State Networks Takanori Akiyama, Gouhei Tanaka (Tokyo Univ.) IBISML2018-83 |
Reservoir Computing (RC) has recently attracted much attention as brain-like information processing for high-speed learn... [more] | IBISML2018-83 pp.293-299 |
| EA | 2018-02-15 16:15 |
Hiroshima | Pref. Univ. Hiroshima | [Invited Talk]
Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties
-- My forty-year history at a slow pace -- Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96 |
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] | EA2017-96 p.19 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Nonlinear parametric model based on power law for tsunami height prediction Masashi Yoshikawa (UT), Yasuhiko Igarashi (JST), Shin Murata (UT), Toshitaka Baba (TU), Takane Hori (JAMSTEC), Masato Okada (UT) IBISML2017-70 |
When a subduction-zone earthquake occurs, we need to predict the tsunami height in order to cope with the tsunami damage... [more] | IBISML2017-70 pp.261-267 |
| EMCJ | 2016-05-13 15:15 |
Hokkaido | Hokkaido University | Linear Equivalent Circuit Modeling of Power Converter Circuit for Condunted Disturbance Estimation
-- Impact of Trigger Timing on the modeling -- Yusuke Yano, Hiroki Geshi, Kengo Iokibe (Okayama Univ.), Tetsushi Watanabe (Industrial Technology Center of Okayama Prefecture), Yoshitaka Toyota (Okayama Univ.) EMCJ2016-16 |
We proposed a linear equivalent circuit model of power converter circuit for efficient reduction design of conducted EMI... [more] | EMCJ2016-16 pp.41-45 |
| AI | 2015-12-18 12:00 |
Okinawa | A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting Takuto Notsu, Kenta Mikawa, Masayuki Goto (Waseda Univ.), Tairiku Ogihara (Recruit Career Co., Ltd.) AI2015-34 |
Recently, the number of companies which are published on internet portal sites has increased in Japan. These portal site... [more] | AI2015-34 pp.49-54 |
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