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Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2021-07-09
13:00
Online Online Bayesian Optimal Prediction and Its Approximation Algorithm for the Difference of Response Variables with and without Measures Considering Individual Differences by Assuming Latent Clusters
Taisuke Ishiwatari (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-23
In observational studies, there are problems such as "the measure can be given only once to the target" and "the charact... [more] IT2021-23
pp.45-50
IT 2021-07-09
13:25
Online Online A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables -- Bayes Optimal Prediction and Sub-Optimal Algorithm --
Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-24
By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] IT2021-24
pp.51-56
WBS, IT, ISEC 2021-03-04
10:55
Online Online An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34
In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that ve... [more] IT2020-115 ISEC2020-45 WBS2020-34
pp.19-24
WBS, IT, ISEC 2021-03-04
13:20
Online Online [Poster Presentation] Non-asymptotic converse theorem on the overflow probability of variable-to-fixed length codes
Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-130 ISEC2020-60 WBS2020-49
This study considers variable-to-fixed length codes and investigates the non-asymptotic converse theorem on the threshol... [more] IT2020-130 ISEC2020-60 WBS2020-49
pp.115-116
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
16:45
Online Online An optimal prediction of phoneme under Bayes criterion by weighting multiple hidden Markov models
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) EA2020-76 SIP2020-107 SP2020-41
In this paper, we propose a prediction method for prediction problems using a hidden Markov model. Specifically, it is a... [more] EA2020-76 SIP2020-107 SP2020-41
pp.97-102
IT 2020-12-02
09:40
Online Online Approximation Method for Bayes Optimal Prediction in Phoneme Recognition Problem
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-30
In this paper, we propose a method of phoneme recognition. In the previous studies on phoneme recognition using the Hidd... [more] IT2020-30
pp.32-37
IT 2020-12-02
10:30
Online Online Error Probability of Classification Based on the Analysis of the Bayes Code -- Extension and Example --
Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-32
Suppose that we have two training sequences generated by parametrized distributions $P_{theta^*}$ and $P_{xi^*}$, where ... [more] IT2020-32
pp.44-49
IT 2020-07-16
14:45
Online Online Asymptotic Evaluation of $alpha$-divergence between VB Posterior Predictive Distribution and Bayesian Predictive Distribution
Kazuki Yamada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-14
In this paper, we consider the problem of determining probability distribution of $X_{n+1}$ given ${X_i }_{i=1}^{n}$ fol... [more] IT2020-14
pp.19-23
IT 2019-07-25
14:25
Tokyo NATULUCK-Iidabashi-Higashiguchi Ekimaeten Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables
Haruka Murayama, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2019-16
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] IT2019-16
pp.5-10
IT 2019-07-25
14:50
Tokyo NATULUCK-Iidabashi-Higashiguchi Ekimaeten Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning
Nao Dobashi, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2019-17
In this paper we consider classification problem about discrete category $y$ regarding discrete variables $bm{x}$. Deci... [more] IT2019-17
pp.11-16
OPE, OCS, LQE 2018-05-11
16:15
Tokyo Kikai-Shinko-Kaikan Bldg (Tokyo) [Special Invited Talk] DMD-Unmanaged Long-Haul SDM Transmission Over 2500-km 12-core x 3-mode MC-FMF and 6300-km 3-mode FMF Employing Intermodal Interference Cancelling Technique
Kohki Shibahara, Takayuki Mizuno, Doohwan Lee, Yutaka Miyamoto, Hirotaka Ono, Kazuhide Nakajima (NTT), Shota Saitoh, Katsuhiro Takenaga (Fujikura), Kunimasa Saitoh (Hokkaido Univ.) OCS2018-7 OPE2018-7 LQE2018-7
This talk provides an overview of advanced space division multiplexing (SDM) technologies that we have developed over th... [more] OCS2018-7 OPE2018-7 LQE2018-7
pp.25-27
WBS, IT, ISEC 2018-03-08
09:00
Tokyo Katsusika Campas, Tokyo University of Science Evaluation of Bayes Predictive Distributions under Unknown Parametric Models on Misspecified Models
Hirokazu Kono, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-103 ISEC2017-91 WBS2017-84
In this paper, we discuss a problem to estimate the conditional distribution of $Y_{N+1}$ given $x_{N+1}$ and ${(x_t,y_t... [more] IT2017-103 ISEC2017-91 WBS2017-84
pp.1-6
IBISML 2018-03-05
17:25
Fukuoka Nishijin Plaza, Kyushu University Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables
Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] IBISML2017-97
pp.49-53
IT 2017-07-14
10:50
Chiba Chiba University Variable-Length Intrinsic Randomness Problem Allowing Non-Vanishing Underflow Probability
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-29
This paper deals with the variable-length intrinsic randomness problem for general sources. Previous study adopts the me... [more] IT2017-29
pp.73-78
OCS, OFT, LSJ
(Joint) [detail]
2016-08-25
14:30
Hokkaido Chitose-alcadia plaza Measurement of inter-core crosstalk in multi-core fibers using a near-infrared camera
Shota Saitoh, Yoshimichi Amma, Yusuke Sasaki, Katsuhiro Takenaga, Kazuhiko Aikawa (Fujikura) OCS2016-26
The use of multi-core fibers (MCFs) for space-division multiplexing has a great potential for dealing with the traffic g... [more] OCS2016-26
pp.7-10
OFT, OCS, OPE
(Joint) [detail]
2016-02-19
15:20
Okinawa Okinawa Univ. A principal mode analysis of the group delay spread of homogeneously coupled 3- and 6-core fibers
Ren Tojo, Yasuyuki Chida, Takeshi Fujisawa (Hokkaido Univ.), Shota Saitoh, Katsuhiro Takenaga (Fujikura Ltd.), Kunimasa Saitoh (Hokkaido Univ.) OFT2015-71 OPE2015-239
(Advance abstract in Japanese is available) [more] OFT2015-71 OPE2015-239
pp.89-94(OFT), pp.131-136(OPE)
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-22
15:05
Osaka   A Note on the Optimal Data Prediction under Bayes Criterion for Multidimensional Linear Regression Models Assuming Latent Variables
Mikio Ushioda, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-129 MVE2015-51
 [more] PRMU2015-129 MVE2015-51
pp.269-273
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
RCS, IT, SIP 2016-01-18
11:00
Osaka Kwansei Gakuin Univ. Osaka Umeda Campus A Study on Message Passing Algorithm for Counting Short Cycles in Sparse Bipartite Graphs
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2015-50 SIP2015-64 RCS2015-282
In this paper, we propose an improvement of message passing algorithm for counting short cycles in sparse bipartite grap... [more] IT2015-50 SIP2015-64 RCS2015-282
pp.13-18
IT 2015-07-13
10:00
Tokyo Tokyo Institute of Technology Variations of the Strong Converse Theorem on the Intrinsic Randomness Problem for General Sources
Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2015-17
This study deals with the Intrinsic randomness problem for general sources.
Previous study shows that the necessary and... [more]
IT2015-17
pp.1-6
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