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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) |
2023-12-17 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 |
| 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 |
| 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 |
| 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 |
| IBISML | 2021-03-04 14:40 |
Online | Online | IBISML2020-59 |
In the machine learning tasks where the training data is scarce, domain adaptation (DA) is a promising methodology that ... [more] | IBISML2020-59 p.78 |
| 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] | |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:50 |
Online | Online | statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18 |
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] | NC2020-18 pp.50-55 |
| SIS | 2019-12-12 14:55 |
Okayama | Okayama University of Science | Machine learning algorithms with quantized images and their influence Takayuki Osakabe, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro.Univ.) SIS2019-27 |
Recently, appling quantized images to machine learning algorithms is expected to enhance robustness against adversarial... [more] |
SIS2019-27 pp.23-28 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models Tatsuya Kitamura (Konan Univ.), Hisanori Makinae (NRIPS), Masashi Ito (TIT) SP2019-40 |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal t... [more] | SP2019-40 pp.67-72 |
| 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 |
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