Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
IBISML |
2021-03-03 14:25 |
Online |
Online |
Markov Decision Processes for Simultaneous Control of Multiple Objects with Different State Transition Probabilities in Each Cluster Yuto Motomura, Akira Kamatsuka, Koki Kazama, Toshiyasu Matsushima (Waseda Univ.) IBISML2020-49 |
In this study, we propose an extended MDP model, which is a Markov decision process model with multiple control objects ... [more] |
IBISML2020-49 pp.47-54 |
IT, EMM |
2020-05-28 15:00 |
Online |
Online |
Bayes Optimal Detecting Relevant Changes for i.p.i.d. Sources Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IT2020-3 EMM2020-3 |
The problems of detecting change points are studied in various fields.
There are various types of change-point detectio... [more] |
IT2020-3 EMM2020-3 pp.13-18 |
ISEC, IT, WBS |
2020-03-10 13:50 |
Hyogo |
University of Hyogo (Cancelled but technical report was issued) |
A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem Alisa Miyashita, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama College of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2019-104 ISEC2019-100 WBS2019-53 |
In this paper, we deal with the problem of database statistics publishing with privacy and utility guarantees. While var... [more] |
IT2019-104 ISEC2019-100 WBS2019-53 pp.95-100 |
NC, MBE (Joint) |
2020-03-05 13:00 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Bayesian learning curve for the case when the optimal distribution is not unique Shuya Nagayasu, Sumio Watanabe (Tokyo Tech) NC2019-94 |
Bayesian inference is a widely used statistical method. Asymptotic behaviors of generalization loss and free energy in B... [more] |
NC2019-94 pp.107-112 |
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] |
2019-07-24 10:55 |
Kochi |
Kochi University of Technology |
Stochastic Existence Connecting Logos that are not necessarily completely divided and Language Games
-- Limitations of Security Models and the Possibility of Artificial Intelligence -- Tetsuya Morizumi (KU) ISEC2019-49 SITE2019-43 BioX2019-41 HWS2019-44 ICSS2019-47 EMM2019-52 |
In this paper we describe that AI architecture including input data in artificial intelligence system for Bayesian estim... [more] |
ISEC2019-49 SITE2019-43 BioX2019-41 HWS2019-44 ICSS2019-47 EMM2019-52 pp.317-324 |
EA |
2018-12-14 10:30 |
Fukuoka |
kyushu Univ. |
Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale
-- Introduction of Fuzzy Moments -- Akira Ikuta, Hisako Orimoto (Prefectural Univ. Hiroshima) EA2018-89 |
In the measurement and evaluation of actual random signal in a sound environment, the observed data often contain the fu... [more] |
EA2018-89 pp.51-58 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Active learning for identifying local minimum points based on the derivative of Gaussian process Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS) IBISML2018-94 |
In many fields such as materials science, knowing local minimum points of unknown functions is important for understand... [more] |
IBISML2018-94 pp.373-380 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97 |
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] |
IBISML2018-97 pp.397-402 |
NS |
2018-10-19 10:40 |
Kyoto |
Kyoto Kyoiku Bunka Center |
[Invited Lecture]
Study of Internet Traffic Classification Based on Naive Bayesian Method Yuanzhi Shao (UEC), Ved P. Kafle (NICT) NS2018-127 |
The traditional port- and payload-based traffic detection and classification technique may not meet the security and QoS... [more] |
NS2018-127 pp.111-116 |
MSS |
2017-03-16 16:50 |
Shimane |
Shimane Univ. |
Finding the Candidates of Attributes in Mail Words Filtered by Bayesian Method Nozomi Fujii, Manabu Sugii, Hiroshi Matsuno (Yamacguchi Univ.) MSS2016-89 |
The interest of a research about mail-filtering system is in a method based on Bayesian theory.The existing systems for ... [more] |
MSS2016-89 pp.43-48 |
IT, ISEC, WBS |
2016-03-10 11:05 |
Tokyo |
The University of Electro-Communications |
Bayesian Estimation of the Virus Source of an Infection in a Network Using Any Prior Distribution Ryousuke Kido, Tetsunao Matsuta, Ryutaroh Matsumoto, Tomohiko Uyematsu (Tokyo Tech.) IT2015-104 ISEC2015-63 WBS2015-87 |
We model a phenomenon that a computer virus is spreading in a network as infection of the virus in a graph constructed o... [more] |
IT2015-104 ISEC2015-63 WBS2015-87 pp.19-24 |
MBE, NC (Joint) |
2014-11-22 13:40 |
Miyagi |
Tohoku University |
A Bayesian Network Model of theory-of-mind Naoya Nishio, Nobuhiko Asakura, Toshio Inui (Kyoro Univ.) NC2014-39 |
Theory of mind (ToM) is a knowledge and cognitive framework for understanding the minds of others and predicting their a... [more] |
NC2014-39 pp.73-78 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2013-09-02 13:00 |
Tottori |
|
[Invited Talk]
Topics on the Cost in Machine Learning Shotaro Akaho (AIST) PRMU2013-40 IBISML2013-20 |
Most machine learning algorithms minimize some cost functions, therefore
the cost is a general target of research.
... [more] |
PRMU2013-40 IBISML2013-20 pp.47-48 |
NC |
2012-07-31 11:35 |
Shiga |
Ritsumeikan Univ. College of Information Science and Engineering |
A Biological Implementation of Bayesian Estimation Algorithm in a Neural Network Architecture Based on Discrete Choice Theory Daiki Futagi, Ryota Kobayashi, Katsunori Kitano (Ritsumeikan Univ) NC2012-28 |
Bayesian estimation theory has been expected to explain how brain deals with uncertainty such as feature extraction agai... [more] |
NC2012-28 pp.77-82 |
IBISML |
2011-11-10 15:45 |
Nara |
Nara Womens Univ. |
Sequential Network Change Detection with Its Applications to Advertisement Impact Relation Analysis Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) IBISML2011-71 |
This paper addresses the issue of network change detection from non-stationary time series data. We employ as a represen... [more] |
IBISML2011-71 pp.199-206 |
IBISML |
2011-06-20 14:30 |
Tokyo |
Takeda Hall |
Network Change Detection with Its Applications to Advertisement Impact Relation Analysis Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) IBISML2011-9 |
This paper addresses the issue of network change detection with its applications to advertisement impact relation analys... [more] |
IBISML2011-9 pp.59-66 |
HCGSYMPO (2nd) |
2010-12-15 - 2010-12-17 |
Miyazaki |
Miyazaki Seagai resort |
Analysis of Psychological Stress Factors with Spontaneous Facial Expressions using Bayesian Networks Hiroaki Otsu, Kazuhito Sato, Hirokazu Madokoro (Akita Prefectural Univ.), Sakura Kadowaki (SmartDesign) |
This paper presents a method to create an individual model to describe relations between facial expressions and stress p... [more] |
|
NC |
2008-10-23 10:15 |
Miyagi |
Tohoku Univ. |
Statistical Mechanical Approach for Computational Neuroscience
-- With the use of the Primary Visual Area Model -- Ken Takiyama (Tokyo Univ.), Yasushi Naruse (NICT), Masato Okada (Tokyo Univ./RIKEN BSI) NC2008-39 |
In this study, we propose a multi-hypercolumn model consisting of $K$ hypercolumns. Adjacent hypercolumns have inter-hyp... [more] |
NC2008-39 pp.19-24 |