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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2022-12-22 13:40 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
 IBISML2022-43 |
In recent years, materials science fields have been conducting efficient materials development through informatics-in th... [more] | IBISML2022-43 pp.4-5 |
| IBISML | 2022-12-22 16:15 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-49 |
Gaussian process upper confidence bound (GP-UCB) is a theoretically promising black-box optimization method; however, a ... [more] | IBISML2022-49 pp.38-45 |
| IBISML | 2022-12-23 13:40 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Multi-objective Bayesian Optimization for Identifying Distributionally-robust Pareto-frontier Yu Inatsu (Nitech), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2022-59 |
Pareto optimization is one of the multi-objective optimization problems for multiple black-box functions. Recently, an o... [more] | IBISML2022-59 pp.112-119 |
| IBISML | 2022-12-23 14:00 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-60 |
(To be available after the conference date) [more] | IBISML2022-60 pp.120-127 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Analysis of Individual Characteristics Using Anchoring Effect Model with Bayesian Updating Fumiya Komatsu, Tomoaki Hamada, Isao Ozawa, Yoshihito Yasaki, Takashi Takekawa (KUTE-TOKYO) |
The anchoring effect is a phenomenon in which later judgments are influenced by previously presented numbers. There is a... [more] | |
| EA, EMM, ASJ-H | 2022-11-21 10:00 |
Online | Online | [Poster Presentation]
Consideration on sound source distance measurement using the sparse Bayesian estimation with a small microphone array system Senta Ariizumi, Eishin Kirikane, Kenji Ozawa (Univ. of Yamanashi) EA2022-47 EMM2022-47 |
The objective of this study is to achieve distance measurement of the sound source by using sparse Bayesian estimation f... [more] | EA2022-47 EMM2022-47 pp.34-39 |
| 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 |
| NC, MBE (Joint) |
2022-09-30 10:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
An approximation algorithm for computing integrated information based on Gaussian process regression Tadaaki Hosaka (TUS) NC2022-40 |
The framework of Integrated Information Theory, which aims to mathematically deal with consciousness, consists of multip... [more] | NC2022-40 pp.32-37 |
| 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 |
| IT | 2022-07-22 14:40 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27 |
Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] | IT2022-27 pp.61-66 |
| IT | 2022-07-22 15:05 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28 |
Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] | IT2022-28 pp.67-72 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 13:35 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Building a Federated Personalized Recommendation Model to Balance Similarity and Diversity Masahiro Hamada, Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi (NAIST) NS2022-46 |
With the spread of on-demand movie distribution, personalized movie recommendations that match user preferences are requ... [more] | NS2022-46 pp.100-105 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) NC2022-2 IBISML2022-2 |
The goal of this study is to improve performance estimation for neural network architectures in neural architecture sear... [more] | NC2022-2 IBISML2022-2 pp.6-13 |
| RCS | 2022-06-16 14:30 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Comparison of Performance and Complexity for different Search Methods in Stochastic MIMO Signal Detection Hiroki Asumi, Yukiko Kasuga, Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.) RCS2022-49 |
In large-scale MIMO signal detection, the computational complexity increases as the number of antennas increases. We hav... [more] | RCS2022-49 pp.150-155 |
| CCS, NLP | 2022-06-10 16:45 |
Osaka | (Primary: On-site, Secondary: Online) |
Motion artifact reduction in EEG recordings using the multivariate temporal response function of acceleration signals with hyperparameter estimation Hiroaki Umehara, Yusuke Yokota (NICT), Masato Okada (UTokyo/NICT), Yasuishi Naruse (NICT) NLP2022-24 CCS2022-24 |
The recent advances of wearable electroencephalography (EEG) systems with dry electrodes provide the realization of brai... [more] | NLP2022-24 CCS2022-24 pp.123-128 |
| IT, EMM | 2022-05-17 13:25 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
A Note on Time-Varying Two-Dimensional Autoregressive Models and the Bayes Codes Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2022-2 EMM2022-2 |
This paper proposes a two-dimensional autoregressive model with time-varying parameters as a stochastic model for explai... [more] | IT2022-2 EMM2022-2 pp.7-12 |
| IT, EMM | 2022-05-18 12:40 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
On Bayesian Approach for Classification of Context Tree Model Shota Saito (Gunma Univ.) IT2022-11 EMM2022-11 |
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] | IT2022-11 EMM2022-11 pp.56-60 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2022-05-15 15:35 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Examination of morphological traits of children's faces related to perceptions of cuteness using Gaussian process ordinal regression Teppei Teraji, Keito Shiroshita, Masashi Komori (OECU), Hiroshi Nittono (Osaka Univ.) HCS2022-17 HIP2022-17 |
Konrad Lorenz, an ethologist, proposed that certain physical elements are perceived as cute and induce caretaking behavi... [more] | HCS2022-17 HIP2022-17 pp.81-85 |
| NS, IN (Joint) |
2022-03-11 10:40 |
Online | Online | Measurement Route Design Using Bayesian Optimization for Degraded Area Detection in Ultra-dense Networks Kotaro Matsuda, Hiroki Ikeuchi, Yousuke Takahashi, Akio Watanabe (NTT) IN2021-40 |
In ultra-dense wireless networks after 5G/6G, communication degradation is expected to increase. On the other hand, the ... [more] | IN2021-40 pp.55-60 |
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