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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.)
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) A learning algorithm to perform sparse estimation method can estimate effective parameters of a polynomial regression mo... [more] IBISML2018-87
pp.321-328
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)
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.)
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)
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)
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.)
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.)
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.)
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)
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.)
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.)
Multiuser detection algorithms based on the belief propagation algorithm is presented.
Previously, multiuser detection ... [more]
IT2007-26
pp.7-12
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
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