Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IT |
2020-12-02 09:20 |
Online |
Online |
Performance Limit of Classification in the Presence of Label Noise with Erasure Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.) IT2020-29 |
[more] |
IT2020-29 pp.26-31 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Asymptotic Evaluation of Classification in the Presence of Generalized Label Noise Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.) IBISML2018-84 |
In classification problem, there are many cases where noise is added to the label. Learning in these cases is called lea... [more] |
IBISML2018-84 pp.301-306 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Classification Algorithms for Generalized Label Noise Model with Unknown Parameter Tota Suko, Goki Yasuda, Shunsuke Horii, Manabu Kobayashi (Waseda Univ) IBISML2018-92 |
In classification problem, there is a case where noise is added to the label. The generalized label noise model is a mod... [more] |
IBISML2018-92 pp.361-366 |
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 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
The Classification Problem in Generalized Label Noise Model Tota Suko, Shunsuke Horii (Waseda Univ) IBISML2017-87 |
In classification problem, there is a case where noise is added to the label.
In this study, we proposes a general nois... [more] |
IBISML2017-87 pp.377-382 |
COMP |
2015-10-02 10:30 |
Tokyo |
|
Online Bayesian estimation of Randomized Response models Tota Suko, Shunsuke Horii (Waseda Univ) COMP2015-23 |
In this paper, we treat the randomized-response technique. This is the estimation method for population proportion of a ... [more] |
COMP2015-23 pp.7-11 |
IT |
2013-09-27 10:15 |
Okinawa |
Culture Resort Festone (Okinawa) |
Iterative Multiuser Joint Decoding based on Augmented Lagrangian Method Shunsuke Horii, Tota Suko, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) IT2013-34 |
In this paper, we develop an iterative multiuser joint decoding of
code-division multiple-access (CDMA) signals based ... [more] |
IT2013-34 pp.13-17 |
IBISML |
2013-03-05 09:55 |
Aichi |
Nagoya Institute of Technology |
A Privacy Preserving Distributed Calculation Method of Maximum A Posteriori Estimator for Linear Regression Models Akito Nakai, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-99 |
In this paper, we study a privacy preserving linear regression analysis. In the past, some protocols of distributed calc... [more] |
IBISML2012-99 pp.47-54 |
IBISML |
2013-03-05 15:40 |
Aichi |
Nagoya Institute of Technology |
Hierarchical Multi-label Classification on Statistical Decision Theory Kiyohito Yamamoto, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-107 |
This paper considers multi-label classification on statistical decision theory. In Label Power Set format, multi-label c... [more] |
IBISML2012-107 pp.101-106 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
A Privacy Preserving Distributed Calculation Method of Least-squares Estimator for Linear Regression Models Tota Suko, Shunsuke Horii (Waseda Univ), Manabu Kobayashi (Shonan Institute of Tec), Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ) IBISML2012-49 |
In this paper, we study a privacy preserving linear regression analysis. We propose a new protocol of distributed calcul... [more] |
IBISML2012-49 pp.107-111 |
IT |
2011-07-22 13:50 |
Okayama |
Okayama University |
Asymptotics of Bayesian prediction for misspecified models Nozomi Miya, Tota Suko, Goki Yasuda, Toshiyasu Matsushima (Waseda Univ.) IT2011-22 |
We consider the sequential prediction problem which is the prediction of the next symbol based on the sequential observa... [more] |
IT2011-22 pp.71-76 |
IT |
2008-01-17 14:25 |
Tokyo |
Waseda Univ. |
A Note on Multiuser Detection Algorithms for CDMA based on the Belief Propagation Algorithm Shunsuke Horii, Tota Suko, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) IT2007-26 |
Multiuser detection algorithms based on the belief propagation algorithm is presented.
Previously, multiuser detection ... [more] |
IT2007-26 pp.7-12 |
IT |
2006-05-25 10:30 |
Nara |
Nara-ken new public hall |
Multiuser Detection Algorithms for CDMA based on the Massage Passing Algorithms Shunsuke Horii, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) |
Optimal multiuser detection for the direct sequence code division multiple access (DS-CDMA) channel is known to be NP-ha... [more] |
IT2006-16 pp.17-22 |
WBS, IT, ISEC |
2006-03-16 17:10 |
Aichi |
Nagoya Univ. |
An Algorithm for Computing the Hiding Capacity of Information Hiding Kensuke Yasui, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) |
There are digital watermarking and fingerprinting (generically calling information hiding) as technique to protect illeg... [more] |
IT2005-94 ISEC2005-151 WBS2005-108 pp.177-182 |
IT |
2005-07-22 13:50 |
Osaka |
Osaka Prefecture Univ. |
A Study of Calculating Information Hiding Capacity of Digital Watermarking Kensuke Yasui, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) |
Digital watermarking is one of the techniques to protect copyright ownership of digital contents such as images, audio, ... [more] |
IT2005-47 pp.29-34 |
IT |
2004-07-29 11:20 |
Chiba |
Tokyo Univ. (Kashiwa) |
Redundancy of Bayes Coding for Nonstationary Sources with Piecewise Constant Parameters Tota Suko, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) |
In this paper we treat universal source coding when the parameters of the probabilistic model of source are known.
Baye... [more] |
IT2004-22 pp.23-28 |