Committee 
Date Time 
Place 
Paper Title / Authors 
Abstract 
Paper # 
IT 
20210709 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.) IT202123 
In observational studies, there are problems such as "the measure can be given only once to the target" and "the charact... [more] 
IT202123 pp.4550 
IT 
20210709 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 SubOptimal Algorithm  Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT202124 
By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] 
IT202124 pp.5156 
WBS, IT, ISEC 
20210304 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.) IT2020115 ISEC202045 WBS202034 
In this paper, we present an efficient coding algorithm for a nonstationary source based on context tree models that ve... [more] 
IT2020115 ISEC202045 WBS202034 pp.1924 
WBS, IT, ISEC 
20210304 13:20 
Online 
Online 
[Poster Presentation]
Nonasymptotic converse theorem on the overflow probability of variabletofixed length codes Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020130 ISEC202060 WBS202049 
This study considers variabletofixed length codes and investigates the nonasymptotic converse theorem on the threshol... [more] 
IT2020130 ISEC202060 WBS202049 pp.115116 
EA, US, SP, SIP, IPSJSLP [detail] 
20210303 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.) EA202076 SIP2020107 SP202041 
In this paper, we propose a prediction method for prediction problems using a hidden Markov model. Specifically, it is a... [more] 
EA202076 SIP2020107 SP202041 pp.97102 
IT 
20201202 09:40 
Online 
Online 
Approximation Method for Bayes Optimal Prediction in Phoneme Recognition Problem Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT202030 
In this paper, we propose a method of phoneme recognition. In the previous studies on phoneme recognition using the Hidd... [more] 
IT202030 pp.3237 
IT 
20201202 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.) IT202032 
Suppose that we have two training sequences generated by parametrized distributions $P_{theta^*}$ and $P_{xi^*}$, where ... [more] 
IT202032 pp.4449 
IT 
20200716 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.) IT202014 
In this paper, we consider the problem of determining probability distribution of $X_{n+1}$ given ${X_i }_{i=1}^{n}$ fol... [more] 
IT202014 pp.1923 
IT 
20190725 14:25 
Tokyo 
NATULUCKIidabashiHigashiguchi 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.) IT201916 
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] 
IT201916 pp.510 
IT 
20190725 14:50 
Tokyo 
NATULUCKIidabashiHigashiguchi Ekimaeten 
Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning Nao Dobashi, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT201917 
In this paper we consider classification problem about discrete category $y$ regarding discrete variables $bm{x}$. Deci... [more] 
IT201917 pp.1116 
OPE, OCS, LQE 
20180511 16:15 
Tokyo 
KikaiShinkoKaikan Bldg (Tokyo) 
[Special Invited Talk]
DMDUnmanaged LongHaul SDM Transmission Over 2500km 12core x 3mode MCFMF and 6300km 3mode 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.) OCS20187 OPE20187 LQE20187 
This talk provides an overview of advanced space division multiplexing (SDM) technologies that we have developed over th... [more] 
OCS20187 OPE20187 LQE20187 pp.2527 
WBS, IT, ISEC 
20180308 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.) IT2017103 ISEC201791 WBS201784 
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] 
IT2017103 ISEC201791 WBS201784 pp.16 
IBISML 
20180305 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.) IBISML201797 
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] 
IBISML201797 pp.4953 
IT 
20170714 10:50 
Chiba 
Chiba University 
VariableLength Intrinsic Randomness Problem Allowing NonVanishing Underflow Probability Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT201729 
This paper deals with the variablelength intrinsic randomness problem for general sources. Previous study adopts the me... [more] 
IT201729 pp.7378 
OCS, OFT, LSJ (Joint) [detail] 
20160825 14:30 
Hokkaido 
Chitosealcadia plaza 
Measurement of intercore crosstalk in multicore fibers using a nearinfrared camera Shota Saitoh, Yoshimichi Amma, Yusuke Sasaki, Katsuhiro Takenaga, Kazuhiko Aikawa (Fujikura) OCS201626 
The use of multicore fibers (MCFs) for spacedivision multiplexing has a great potential for dealing with the traffic g... [more] 
OCS201626 pp.710 
OFT, OCS, OPE (Joint) [detail] 
20160219 15:20 
Okinawa 
Okinawa Univ. 
A principal mode analysis of the group delay spread of homogeneously coupled 3 and 6core fibers Ren Tojo, Yasuyuki Chida, Takeshi Fujisawa (Hokkaido Univ.), Shota Saitoh, Katsuhiro Takenaga (Fujikura Ltd.), Kunimasa Saitoh (Hokkaido Univ.) OFT201571 OPE2015239 
(Advance abstract in Japanese is available) [more] 
OFT201571 OPE2015239 pp.8994(OFT), pp.131136(OPE) 
PRMU, IPSJCVIM, MVE [detail] 
20160122 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.) PRMU2015129 MVE201551 
[more] 
PRMU2015129 MVE201551 pp.269273 
PRMU, IPSJCVIM, MVE [detail] 
20160122 15:35 
Osaka 

A Note on the Computational Complexity Reduction Method of the Optimal Prediction under Bayes Criterion in SemiSupervised Learning Yuto Nakano, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) PRMU2015130 MVE201552 
In this paper, we deal with a prediction problem of the semisupervised learning based on the statistical decision theor... [more] 
PRMU2015130 MVE201552 pp.275280 
RCS, IT, SIP 
20160118 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.) IT201550 SIP201564 RCS2015282 
In this paper, we propose an improvement of message passing algorithm for counting short cycles in sparse bipartite grap... [more] 
IT201550 SIP201564 RCS2015282 pp.1318 
IT 
20150713 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.) IT201517 
This study deals with the Intrinsic randomness problem for general sources.
Previous study shows that the necessary and... [more] 
IT201517 pp.16 