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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 34  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT, ISEC, RCC, WBS 2022-03-10
14:15
Online Online Distributed Online Optimization under Inequality Constraints on Directed Open Multi-agent Systems
Riki Sawamura, Naoki Hayashi, Masahiro Inuiguchi (Osaka Univ.) IT2021-108 ISEC2021-73 WBS2021-76 RCC2021-83
Distributed optimization in multi-agent systems has attracted attention in various fields. In this study, we consider a ... [more] IT2021-108 ISEC2021-73 WBS2021-76 RCC2021-83
pp.150-154
ICM 2021-07-16
10:00
Online Online Event Correlation Method with Bayesian Network
Atsushi Takada, Naoki Hayashi, Ryosuke Sato, Toshihiko Seki, Kyoko Yamagoe (NTT) ICM2021-15
Nowadays, research has been conducted to automate the operation of IT services using AI and orchestrator. In the operati... [more] ICM2021-15
pp.28-33
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
11:20
Online Online Model Predictive Control with Robust Constraint Satisfaction Using Gaussian Process
Wataru Hashimoto, Naoki Hayashi, Shigemasa Takai (Osaka Univ) RCC2021-24
 [more] RCC2021-24
pp.13-16
RCC 2021-01-22
13:55
Online Online Distributed Mini-Batch Stochastic Subgradient Algorithm over Directed Networks
Daichi Ishikawa, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) RCC2020-35
We consider a constrained optimization problem of minimizing the sum of the local convex objective function values of ag... [more] RCC2020-35
pp.4-8
MSS, CAS, IPSJ-AL [detail] 2020-11-25
16:10
Online Online Distributed convex optimization with inequality constraints over directed graphs based on row stochasticity
Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) CAS2020-22 MSS2020-14
Distributed optimization is a method in which agents exchange information on the network to obtain the optimal solution ... [more] CAS2020-22 MSS2020-14
pp.16-21
ICM 2020-07-16
12:55
Online Online Configuration management method by adding traffic considering network load
Mizuto Nakamura, Naoki Hayashi, Atsushi Takada, Toshihiko Seki, Kyoko Yamagoe (NTT) ICM2020-9
 [more] ICM2020-9
pp.7-12
ICM, IPSJ-CSEC, IPSJ-IOT 2020-05-14
13:15
Online Online Topology Discovery Method with Alarm Information for Telecom Network
Atsushi Takada, Naoki Hayashi, Mizuto Nakamura, Naoyuki Tanji, Toshihiko Seki, Kyoko Yamagoe (NTT) ICM2020-1
 [more] ICM2020-1
pp.1-6
RCC 2020-01-27
14:10
Osaka   Distributed online subgradient method over unbalanced directed graphs
Makoto Yamashita, Naoki Hayashi, Takeshi Hatanaka, Shigemasa Takai (Osaka Univ.) RCC2019-72
This paper considers a constrained distributed online optimization problem over strongly connected unbalanced directed n... [more] RCC2019-72
pp.13-18
RCC, ITS, WBS 2019-11-06
13:50
Nara Nara Institute of Science and Technology A Preliminary Study on Distributed LQ Control Approach for Blade Pitch Angle Control of Floating Offshore Wind Farm
Wataru Hashimoto, Naoki Hayashi (Osaka Univ), Naoyuki Hara (Osaka Pref Univ), Shigemasa Takai (Osaka Univ) WBS2019-33 ITS2019-24 RCC2019-64
 [more] WBS2019-33 ITS2019-24 RCC2019-64
pp.53-57
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-10
11:35
Osaka I-Site Nanba(Osaka) Distributed Convex Optimization by Consensus ADMM with Communication Time-Delays
Kazuma Tanaka, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) RCC2019-13
 [more] RCC2019-13
pp.11-14
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Variational Approximation Accuracy in Non-negative Matrix Factorization
Naoki Hayashi (MSI) IBISML2018-51
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] IBISML2018-51
pp.53-60
MBE, NC
(Joint)
2018-03-14
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Experimental Analysis of Real Log Canonical Threshold in Stochastic Matrix Factorization using Hamiltonian Monte Carlo Method
Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2017-89
For the real log canonical threshold (RLCT) that gives the Bayesian generalization error of stochastic matrix factorizat... [more] NC2017-89
pp.127-131
MSS, NLP
(Joint)
2018-03-12
14:25
Osaka   Analysis of Distributed Cooperative Thompson Sampling
Motoki Kamimura, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) MSS2017-80
The bandit problem is a mathematical model which formulates the trade-off between the exploration for the better strateg... [more] MSS2017-80
pp.15-20
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning
Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] IBISML2017-38
pp.23-30
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
10:30
Tokyo   Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion
Naoki Hayashi (Tokyo Tech), Fumito Nakamura (Bosch) PRMU2017-41 IBISML2017-13
A Gaussian mixture model (GMM) is a statistical model used in various fields such a pattern recognition, thus, it is imp... [more] PRMU2017-41 IBISML2017-13
pp.19-26
MBE, NC
(Joint)
2017-03-13
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Experimental Analysis of Real Log Canonical Threshold in Non-negative Matrix Factorization
Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2016-78
For the real log canonical threshold ( RLCT ) that gives the Bayesian generalization error of non-negative matrix factor... [more] NC2016-78
pp.85-90
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. [Poster Presentation] A real log canonical threshold of nonnegative matrix factorization and its application to Bayesian learning
Naoki Hayashi, Sumio Watanabe (Tokyo Tech) IBISML2016-76
In nonnegative matrix factorization(NMF),we deal with problems that we predict a data matrix as a product of two
nonne... [more]
IBISML2016-76
pp.215-220
RCC 2016-01-29
13:30
Osaka Kansai University Umekita Laboratory [Invited Talk] Distributed Cooperative Control for Multi-Agent Systems
Naoki Hayashi (Osaka Univ) RCC2015-90
Recently, cooperative control of multi-agent systems has attracted much attention in control engineering. This paper giv... [more] RCC2015-90
pp.23-24
HCS 2015-03-17
13:00
Ishikawa Rurikoh (Yamashiro Onsen, Ishikawa) Contactivity : a case study of vitalization of Tono city using sustainable co-creation method
Masamichi Takahashi, Mihoko Wakui, Ryoji Horita, Naoki Hayashi, Katsunori Kawano (Fuji Xerox) HCS2014-110
We have been conducting a series of a future creating camp, “Mirai Zukuri Camp,” in order to vitalize Tono city in Iwate... [more] HCS2014-110
pp.1-6
CAS, MSS, IPSJ-AL [detail] 2014-11-20
16:10
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki island) Optimization of Unit Commitment Problem by distributed simplex algorithm
Toshiki Asai, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) CAS2014-96 MSS2014-60
The unit commitment problem determines a turn-on and turn-off scheduling and outputs of power generating units to meet a... [more] CAS2014-96 MSS2014-60
pp.75-79
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