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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| 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 | 2020-12-02 10:00 |
Online | Online | Policy Optimization Based on Bayesian Decision Theory in Learning Period on Markov Decision Process Naoki Ichijo, Yuta Nakahara, Yuto Motomura, Toshiyasu Matsushima (Waseda Univ.) IT2020-31 |
In Markov decision process(MDP) problems with an unknown transition probability, a learning agent has to learn the unkno... [more] | IT2020-31 pp.38-43 |
| 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, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 15:25 |
Okinawa | Okinawa Institute of Science and Technology | Optimal Estimating the Number of Change Points for Sources with Piecewise Constant parameters under Bayesian Criterion Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IBISML2019-6 |
The problem of estimating the number of the change points is an important problem in various real problems.There have be... [more] | IBISML2019-6 pp.35-41 |
| 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 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-22 15:35 |
Osaka | A Note on the Computational Complexity Reduction Method of the Optimal Prediction under Bayes Criterion in Semi-Supervised Learning Yuto Nakano, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-130 MVE2015-52 |
In this paper, we deal with a prediction problem of the semi-supervised learning based on the statistical decision theor... [more] | PRMU2015-130 MVE2015-52 pp.275-280 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 17:00 |
Ibaraki | Analysing the Fairness of Fairness-aware Classifiers Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28 |
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] | PRMU2014-47 IBISML2014-28 pp.85-92 |
|
| 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 |
|
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-06 13:40 |
Fukuoka | Fukuoka Univ. | [Fellow Memorial Lecture]
- Takio Kurita (Hiroshima Univ.) PRMU2010-84 IBISML2010-56 |
Linear Discriminant Analysis (LDA) is one of the well known methods to extract good features for classification. Otsu de... [more] | PRMU2010-84 IBISML2010-56 pp.209-214 |
| PRMU | 2007-12-14 15:30 |
Hyogo | Kobe Univ. | Relationship Between Errors of Supplementary Information and Misrecognition Rates Yoshio Furuya, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.), Shinichiro Omachi (Tohoku Univ.), Seiichi Uchida (Kyusyu Univ.) PRMU2007-152 |
Pattern recognition with supplementary information is a new pattern recognition framework that determines an output clas... [more] | PRMU2007-152 pp.95-100 |
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