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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 179  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
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
SS, MSS 2024-01-17
16:00
Ishikawa
(Primary: On-site, Secondary: Online)
Linear Regression Analysis of the Fuel Cost Factors of The Concurrent Hydro-Thermal Corporation System
Ichiro Toyoshima (Toshiba ESS), Tomoki Takeuchi, Ryoichi Hara (Hokkaido Univ.), Ryohei Momokawa (Toshiba ESS), Hiroyuki Kita (Hokkaido Univ.) MSS2023-58 SS2023-37
In making a generation schedule, hydropower has played a central role in the power system. It is one of the effective wa... [more] MSS2023-58 SS2023-37
pp.35-39
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]

PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-16
16:50
Tottori
(Primary: On-site, Secondary: Online)
Flood forecasting in Matsue City using statistical methods
Kazuki Yamamoto, Hitoshi Sakano, Hiroshi Yajima (Shimane Univ.) PRMU2023-23
In this study, we applied a statistical modeling approach to flood forecasting in rivers within Matsue City, examining a... [more] PRMU2023-23
pp.43-46
IMQ, HIP 2023-07-28
15:05
Hokkaido Satellite Campus, Sapporo City University Estimation of subjective fatigue level using heart rate variability and physical acceleration during indoor movement
Yuuya Okazaki, Seiya Kawamata, Yuukou Horita (Univ.of Toyama) IMQ2023-5 HIP2023-44
Well-being is attracting increasing attention both in Japan and overseas as a term that expresses a state of mental, phy... [more] IMQ2023-5 HIP2023-44
pp.9-14
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-29
14:20
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression
Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT) NC2023-3 IBISML2023-3
X-ray absorption spectra are known as a useful experimental measurement technique for crystal structure analysis. Spectr... [more] NC2023-3 IBISML2023-3
pp.17-24
CCS, NLP 2023-06-09
13:55
Tokyo Tokyo City Univ. Analysis of Vocal and Ventricular Folds Data Using Machine Learning
Takumi Inoue, Kota Shiozawa, Isao Tokuda (Rits Univ) NLP2023-24 CCS2023-12
Vocal fold vibration is a nonlinear phenomenon in the real world. In humans, vocal folds can produce complex sounds by i... [more] NLP2023-24 CCS2023-12
pp.49-52
SR 2023-05-12
13:55
Hokkaido Center of lifelong learning Kiran (Higashi Muroran)
(Primary: On-site, Secondary: Online)
[Invited Talk] Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction
Koya Sato (UEC) SR2023-20
Gaussian process regression (GPR) is a non-parametric method that optimizes regression analysis for Gaussian process dat... [more] SR2023-20
p.91
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 2023-01-20
14:15
Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)
Consideration on Air Conditioning Power Consumption Model by Regression Method
Tsuyoshi Nishitani, Kazuki Ikeda, Yuto Iwasaki, Aoi Tanaka, Kazuto Yukita, Tokimasa Goto, Katsunori Mizuno, Yasuyuki Goto (AIT) EE2022-50
Energy conservation is required in the electrical energy field to realize a stable energy supply and carbon neutrality. ... [more] EE2022-50
pp.133-138
SeMI, SeMI
(Joint)
2023-01-19
15:45
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] Water Height Estimation by Wi-Fi CSI independent of Bottle Size
Soma Nishino, Masakatsu Ogawa (Sophia Univ.) SeMI2022-85
Channel State Information (CSI) characteristics can depend on the object shapes located between the transmitting and rec... [more] SeMI2022-85
pp.57-60
IBISML 2022-12-23
15:30
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Finding of Corporate Growth Patterns by Shapley Values -- Case Study of Academy Development in the J-League --
Seiji Matsuhashi, Yukari Shirota (Gakushuin Univ) IBISML2022-64
This paper explores the financial indicators (variables) that contribute to the J-league ranking of a club by regression... [more] IBISML2022-64
pp.150-157
IN, IA
(Joint)
2022-12-13
10:40
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
Learning-based People Flow Estimation using Wi-Fi Access Logs
Yuki Sakurai, Shingo Ata (Osaka Metropolitan Univ.) IN2022-48
People flow analysis, which visualizes and analyzes the movement and/or stay of people in various locations, is attracti... [more] IN2022-48
pp.26-31
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
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-15
15:05
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
A Predictive Model of Heat Stress Using Heart Rate Variability Analysis
Yusuke Shimada, Masashi Sugano (Osaka Metro. Univ.) SeMI2022-47
Predicting and controlling heat stress leads to comfort. Because People have different feelings against heat, we need a ... [more] SeMI2022-47
pp.127-132
IMQ, HIP 2022-07-08
14:00
Hokkaido Satellite Campus, Sapporo City University Investigation of features using cluster analysis in estimating subjective fatigue while walking
Yuya Okazaki, Yuya Itagaki, Yuukou Horita (Univ.of Toyama) IMQ2022-6 HIP2022-37
In recent years, attention has been focused on the construction of evaluation indices and estimation models that express... [more] IMQ2022-6 HIP2022-37
pp.11-14
DE 2022-06-25
10:05
Tokyo Musashino University
(Primary: On-site, Secondary: Online)
Time Series Analysis of Shapley Values in Machine-Learning Regression
Kotaro Kuno, Yukari Shirota (GakushuinUniv) DE2022-1
In regression analysis of machine learning, Lundberg's SHAP and its libraries are widely used and have contributed great... [more] DE2022-1
pp.1-6
EE, IEE-HCA 2022-05-27
15:15
Online Online A Study on Energy Consumption of Air Conditioning Equipment Using Regression Analysis
Tsuyoshi Nishitani, Kazuki Ikeda, Yuto Iwasaki, Aoi Tanaka, Kazuto Yukita, Tokimasa Goto, Katsunori Mizuno, Toshiro Matsumura, Toshiya Nanahara, Yasuyuki Goto (AIT) EE2022-7
In recent years, energy conservation has been required in the electric energy field to realize a stable energy supply an... [more] EE2022-7
pp.34-38
HCS, HIP, HI-SIGCOASTER [detail] 2022-05-16
09:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Cognitive Performance and Workload prediction for older adults using eye information in car driving
Minoru Nakayama (Tokyo Tech.), Chayn Sun (RMIT Univ.), Jianhong Xia (Curtin Univ.) HCS2022-23 HIP2022-23
Prediction possibility for scores of cogonitive ability and mental
workloads was examined using metrics of oculo-motor... [more]
HCS2022-23 HIP2022-23
pp.112-117
 Results 1 - 20 of 179  /  [Next]  
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