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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
17:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Forest Construction of Gaussian and Discrete Variables based on WBIC
Ashraful Islam, Joe Suzuki (Osaka Univ.) PRMU2022-126 IBISML2022-133
Mutual information is a metric that determines the association between two random variables by measuring the amount of i... [more] PRMU2022-126 IBISML2022-133
pp.371-377
IBISML 2022-09-15
15:30
Kanagawa Keio Univ. (Yagami Campus)
(Primary: On-site, Secondary: Online)
An Genenalized LiNGAM when confunder is present -- A formulation of ICA and the minimum shortest problem --
Joe Suzuki, Tianle Yang (Osaka U.) IBISML2022-39
In this study, we investigated a generalization of LiNGAM that allows the presence of confounding. Existing LiNGAMs assu... [more] IBISML2022-39
pp.47-54
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
16:15
Okinawa
(Primary: On-site, Secondary: Online)
An Extension of LiNGAM to Functional Data Analysis
Tianle Yang, Joe Suzuki (Osaka Univ.) NC2022-22 IBISML2022-22
We often use the Linear Non-Gaussian Acyclic Model (LiNGAM) to find random variables' causal order. In the LiNGAM, we ca... [more] NC2022-22 IBISML2022-22
pp.156-163
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
16:55
Okinawa
(Primary: On-site, Secondary: Online)
Extending HSIC for Testing Conditional Independence
Bingyuan Zhang, Joe Suzuki (Osaka Univ.) NC2022-23 IBISML2022-23
Conditional Independence (CI) testing is a fundamental problem in statistics, which is applied directly to causal discov... [more] NC2022-23 IBISML2022-23
pp.164-169
IBISML 2020-10-22
14:00
Online Online An Extended LiNGAM minimizing Mutual Information and its Application to Ordering Discrete Variables
Joe Suzuki, Yusuke Inaoka (OU) IBISML2020-30
 [more] IBISML2020-30
pp.49-54
IBISML 2020-10-22
15:15
Online Online A Proximal Gradient Method for Convex Clustering
Ryosuke Shimmura, Joe Suzuki (Osaka Univ.) IBISML2020-33
(To be available after the conference date) [more] IBISML2020-33
pp.69-74
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
17:25
Okinawa Okinawa Institute of Science and Technology A Bayesian Estimator of Mutual Information and its Application to Tests of Independence
Joe Suzuki (Osaka Univ.) IBISML2015-17
 [more] IBISML2015-17
pp.109-116
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-02
16:15
Ibaraki   Rates of convergence of the universal Bayesian measure for continuous data
Takanori Ayano, Joe Suzuki (Osaka Univ.) PRMU2014-53 IBISML2014-34
It is very important to estimate the probability of the data series accurately for applying MDL information criterion.
... [more]
PRMU2014-53 IBISML2014-34
pp.143-146
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2014-06-25
16:35
Okinawa Okinawa Institute of Science and Technology Learning Bayesian Network Structures when discrete and continuous variables are present
Joe Suzuki (Osaka Univ.) NC2014-2 IBISML2014-2
In any database, some fields are discrete and others continuous in each record.We consider learning Bayesian network str... [more] NC2014-2 IBISML2014-2
pp.25-32
IBISML 2014-03-07
11:35
Nara Nara Women's University Bayesian Test of Independence
Takanori Ayano, Joe Suzuki (Osaka Univ.) IBISML2013-77
This paper proposes Bayesian estimators of mutual information and independence tests.
Given independently emitted $n$ ... [more]
IBISML2013-77
pp.79-86
IBISML 2013-07-18
09:45
Tokyo Nishiwaseda Campus (Waseda univ.) The Universal Bayesian Measures
Joe Suzuki (Osaka Univ.) IBISML2013-1
 [more] IBISML2013-1
pp.1-6
IT 2012-12-11
17:00
Oita Beppuwan Royal Hotel [Invited Talk] Reflection on Research at Prof. Cover's Group -- Universal Estimation of Stationary Ergodic Sequences --
Joe Suzuki (Osaka Univ.) IT2012-48
 [more] IT2012-48
pp.21-25
IBISML 2012-03-12
10:25
Tokyo The Institute of Statistical Mathematics Bayesian Network Structure Estimation based on the Bayesian/MDL Criteria when both Discrete and Continuous Variables are Present
Joe Suzuki (Osaka Univ.) IBISML2011-88
We consider estimation of Bayesian network structures given a finite number of examples when both discrete and continuou... [more] IBISML2011-88
pp.9-14
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. A Method for Estimating Binary Data Generating Process
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2011-65
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] IBISML2011-65
pp.155-162
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. Causal Inference for Discrete Data -- Extension from binary data to multi-value data. --
Joe Suzuki, Shohei Shimizu, Takashi Washio (Osaka U.) IBISML2011-72
 [more] IBISML2011-72
pp.207-212
IBISML 2011-06-20
15:00
Tokyo Takeda Hall A Generalized Version of the Bayesian Chow-Liu Algorithms
Joe Suzuki (Osaka Univ.) IBISML2011-13
(Advance abstract in Japanese is available) [more] IBISML2011-13
pp.91-96
IT 2011-05-20
11:25
Osaka Osaka City University A Generalized the Chow-Liu Algorithm based on the MDL Principle
Joe Suzuki (Osaka Univ.) IT2011-2
We extend the Chow-Liu algorithm for general random variables while
the previous versions only considered finite source... [more]
IT2011-2
pp.7-12
ISEC, IT, WBS 2011-03-04
09:50
Osaka Osaka University A Generalized MDL Criterion and its Application to Learning Bayesian Network Structure -- When Both Discrete and Continuous Data are Present --
Joe Suzuki (Osaka Univ.) IT2010-106 ISEC2010-110 WBS2010-85
We propose the MDL principle without assuming the source to be discrete.
As an application, we consider estimation of B... [more]
IT2010-106 ISEC2010-110 WBS2010-85
pp.249-254
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-06
11:40
Fukuoka Fukuoka Univ. Evaluation of the error rate of the classifier under the margin assumption
Takanori Ayano, Joe Suzuki (Osaka Univ) PRMU2010-82 IBISML2010-54
In statistical learning, it is very important for evaluation of the performance of SVM and the conclusion of the difficu... [more] PRMU2010-82 IBISML2010-54
pp.193-199
IT 2010-05-21
16:10
Tokushima the University of Tokushima Universal Coding and Shannon-MacMillan-Breiman Theorem
Joe Suzuki (Osaka Univ.) IT2010-9
 [more] IT2010-9
pp.45-50
 Results 1 - 20 of 20  /   
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