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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ISEC, IT, WBS | 2024-03-14 17:00 |
Osaka | Osaka Univ. (Suita Campus) | Comparison of Scale Parameter Dependence of Estimation Performance in Sparse Bayesian Linear Regression Model with Variance Gamma Prior Distribution and t-Prior Distribution Kazuaki Murayama (UEC)  IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 |
In the sparse estimation with linear regression model, the variance gamma distribution and t-distribution can be used as... [more] | IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 pp.374-379 |
| QIT (2nd) |
2023-12-19 10:45 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Quantum annealing with continuous variables for linear regression Asuka Koura (Chuo Univ), Takashi Imoto, Katsuki Ura (AIST), Yuichiro Matsuzaki (Chuo Univ) |
Linear regression is a supervised learning method that uses known data values to predict unknown data, and it is a type... [more] |
|
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reducing Quantum Communication Complexity of Linear Regression Sayaki Matsushita (Nagoya) |
Quantum coordinator model is a model that has a referee and multiple parties that can only communicate with the referee.... [more] | |
| SDM | 2023-11-10 14:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Examination of high high-precision device modeling methods
-- Comparison of Neural Networks and Linear Regression -- Kengo Nakata, Takayuki Mori, Jiro Ida (Kanazawa Inst. Tech.) SDM2023-71 |
Neural network (NN) models have the advantage of high inference speed, but they are difficult to modeling. For this reas... [more] | SDM2023-71 pp.36-40 |
| RCC, ISEC, IT, WBS | 2023-03-14 15:20 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Estimation Performance of Sparse Bayesian Linear Regression model with t-distribution Kazuaki Murayama (UEC) IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 |
In the sparse estimation with linear regression model, the t-distribution can be used as a prior distribution. We analyz... [more] | IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 pp.236-241 |
| EE | 2023-01-19 15:15 |
Fukuoka | Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Parameter estimation of component of DC-DC converter with state-space modeling and linear regression Yano Ikuma, Maruta Hidenori (Nagasaki Univ.) EE2022-38 |
This study presents a parameter estimation method of DC-DC converter based on its state-space modelling and linear regre... [more] | EE2022-38 pp.67-71 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Investigating the Effectiveness of Multimodal Features for Psychological Distress Estimation during Cognitive Behavior Therapy with a Virtual Agent Kazuhiro Shidara, Hiroki Tanaka (NAIST), Adachi Hiroyoshi, Daisuke Kanayama, Yukako Sakagami, Takashi Kudo (Osaka University), Satoshi Nakamura (NAIST) |
Cognitive behavior therapy (CBT) is a well-established method for the treatment of mental disorders and daily mental hea... [more] | |
| R | 2022-10-07 15:50 |
Fukuoka | (Primary: On-site, Secondary: Online) |
Bayesian ridge estimator based on vine copula-based priors Hirofumi Michimae (Kitasato Univ.), Takeshi Emura (Kurume Univ.) R2022-38 |
Ridge regression is a method that alleviates the multicollinearity problem and stably estimates the regression coefficie... [more] | R2022-38 pp.37-42 |
| 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 |
| 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 |
| EMM | 2021-03-05 09:30 |
Online | Online | An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images Kotaro Yamamura, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-75 |
In this paper, we propose an MSB prediction-based reversible data hiding method using linear regression in encrypted dom... [more] | EMM2020-75 pp.46-51 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-19 16:50 |
Online | Online | [Special Talk]
Improving Efficiency of Hammering Inspection of Subway Tunnels based on Analyzing Inspection Data Motoki Oyama, Yuki Wakuda, Maiku Abe (Hokkaido Univ.), Yukihiro Ishikawa, Yuki Enokidani, Daisuke Tanaka, Hideaki Yamaguchi (Tokyo Metro) |
In this study, we aimed at optimizing the operation of the upper floor hammering sound inspection of the subway tunnel, ... [more] | |
| SeMI | 2021-01-21 14:10 |
Online | Online | [Poster Presentation]
Accurate Phase Measurement of Backscatter Signals Based on Principle Components Analysis
-- Simulation and Experimental Evaluation -- Tomoya Iwasaki, Jin Mitsugi (Keio Univ.) SeMI2020-56 |
Carrier phase angle estimation is essential in demodulation and localization of backscatter signals. In general, a linea... [more] | SeMI2020-56 pp.75-83 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Objective Prediction of Social Skills Level for Automated Social Skills Training Using Multimodal Information Takeshi Saga, Hiroki Tanaka (NAIST), Hidemi Iwasaka (Nara Med. Univ.), Satoshi Nakamura (NAIST) |
Although Social Skills Training is a well-known effective method to obtain appropriate social skills during daily commun... [more] | |
| SDM | 2020-11-20 10:30 |
Online | Online | [Invited Talk]
Power Device Degradation Estimation by Machine Learning of Gate Waveforms Hiromu Yamasaki, Koutaro Miyazaki, Yang Lo, A. K. M. Mahfuzul Islam, Katsuhiro Hata, Takayasu Sakurai, Makoto Takamiya (Univ. of Tokyo) SDM2020-29 |
A method to detect bonding wire lift-off of SiC MOSFETs using machine learning from the gate voltage waveform is propose... [more] | SDM2020-29 pp.32-35 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
A study on reverberation time estimation based on regression error Yohei Iiyama, Yutaka Kaneda (Tokyo Denki Univ.) EA2019-145 SIP2019-147 SP2019-94 |
The reverberation time is obtained by linear regression of the reverberation curve calculated from a room impulse respon... [more] | EA2019-145 SIP2019-147 SP2019-94 pp.255-260 |
| 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 |
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