![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Joe Suzuki
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j15]Ryosuke Shimmura
, Joe Suzuki
:
Estimation of a Simple Structure in a Multidimensional IRT Model Using Structure Regularization. Entropy 26(1): 44 (2024) - [j14]Ryosuke Shimmura, Joe Suzuki:
Newton-Type Methods with the Proximal Gradient Step for Sparse Estimation. Oper. Res. Forum 5(2): 27 (2024) - [i15]Tianle Yang, Kuang-Yao Lee, Kun Zhang, Joe Suzuki:
Functional Linear Non-Gaussian Acyclic Model for Causal Discovery. CoRR abs/2401.09641 (2024) - [i14]Joe Suzuki, Tianle Yang:
Generalization of LiNGAM that allows confounding. CoRR abs/2401.16661 (2024) - [i13]Lirui Liu, Joe Suzuki:
Learning under Singularity: An Information Criterion improving WBIC and sBIC. CoRR abs/2402.12762 (2024) - [i12]Hongming Huang, Joe Suzuki:
An Efficient Procedure for Computing Bayesian Network Structure Learning. CoRR abs/2407.17072 (2024) - 2023
- [b4]Joe Suzuki:
WAIC and WBIC with R Stan - 100 Exercises for Building Logic. Springer 2023, ISBN 978-981-99-3837-7, pp. 1-239 - [j13]Bingyuan Zhang
, Joe Suzuki
:
Extending Hilbert-Schmidt Independence Criterion for Testing Conditional Independence. Entropy 25(3): 425 (2023) - [i11]Tianle Yang, Joe Suzuki:
Dropout Drops Double Descent. CoRR abs/2305.16179 (2023) - 2022
- [b3]Joe Suzuki:
Kernel Methods for Machine Learning with Math and R - 100 Exercises for Building Logic. Springer 2022, ISBN 978-981-19-0397-7, pp. 1-196 - [c26]Tianle Yang, Joe Suzuki:
The Functional LiNGAM. PGM 2022: 25-36 - 2021
- [b2]Joe Suzuki:
Sparse Estimation with Math and R - 100 Exercises for Building Logic. Springer 2021, ISBN 978-981-16-1445-3, pp. 1-234 - [j12]Jie Chen
, Ryosuke Shimmura, Joe Suzuki
:
Efficient Proximal Gradient Algorithms for Joint Graphical Lasso. Entropy 23(12): 1623 (2021) - [i10]Joe Suzuki, Yusuke Inaoka:
Causal Order Identification to Address Confounding: Binary Variables. CoRR abs/2108.04947 (2021) - 2020
- [b1]Joe Suzuki:
Statistical Learning with Math and R - 100 Exercises for Building Logic. Springer 2020, ISBN 978-981-15-7567-9, pp. 1-214
2010 – 2019
- 2019
- [c25]Joe Suzuki:
Mutual Information Estimation: Independence Detection and Consistency. ISIT 2019: 2514-2518 - 2018
- [j11]Joe Suzuki
:
Forest Learning From Data and its Universal Coding. IEEE Trans. Inf. Theory 64(11): 7349-7358 (2018) - [i9]Joe Suzuki:
Forest Learning from Data and its Universal Coding. CoRR abs/1808.00566 (2018) - 2017
- [j10]Joe Suzuki
:
A novel Chow-Liu algorithm and its application to gene differential analysis. Int. J. Approx. Reason. 80: 1-18 (2017) - [j9]Joe Suzuki:
An Efficient Bayesian Network Structure Learning Strategy. New Gener. Comput. 35(1): 105-124 (2017) - [c24]Joe Suzuki, Antti Hyttinen, Brandon M. Malone:
Advanced Methodologies for Bayesian Networks 2017: Preface. AMBN 2017: 1-2 - [c23]Joe Suzuki, Jun Kawahara:
Branch and Bound for Regular Bayesian Network Structure Learing. UAI 2017 - [e2]Antti Hyttinen, Joe Suzuki, Brandon M. Malone:
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2017, Kyoto, Japan, September 20-22, 2017. Proceedings of Machine Learning Research 73, PMLR 2017 [contents] - 2016
- [j8]Joe Suzuki
:
An Estimator of Mutual Information and its Application to Independence Testing. Entropy 18(4): 109 (2016) - [c22]Joe Suzuki:
Structure learning and universal coding when missing values exist. ISIT 2016: 1725-1729 - [i8]Joe Suzuki:
A Theoretical Analysis of the BDeu Scores in Bayesian Network Structure Learning. CoRR abs/1607.04427 (2016) - 2015
- [j7]Joe Suzuki
:
Consistency of Learning Bayesian Network Structures with Continuous Variables: An Information Theoretic Approach. Entropy 17(8): 5752-5770 (2015) - [c21]Joe Suzuki:
Efficiently Learning Bayesian Network Structures Based on the B&B Strategy: A Theoretical Analysis. AMBN@JSAI-isAI 2015: 1-14 - [c20]Joe Suzuki:
Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation. AMBN@JSAI-isAI 2015: 234-249 - [e1]Joe Suzuki, Maomi Ueno:
Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings. Lecture Notes in Computer Science 9505, Springer 2015, ISBN 978-3-319-28378-4 [contents] - 2014
- [c19]Joe Suzuki:
Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present. Probabilistic Graphical Models 2014: 471-486 - [i7]Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara:
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM. CoRR abs/1401.5636 (2014) - [i6]Joe Suzuki:
Universal Bayesian Measures and Universal Histogram Sequences. CoRR abs/1405.6033 (2014) - 2013
- [c18]Joe Suzuki:
Universal Bayesian measures. ISIT 2013: 644-648 - [i5]Joe Suzuki:
A Construction of Bayesian Networks from Databases Based on an MDL Principle. CoRR abs/1303.1486 (2013) - 2012
- [j6]Takanori Ayano
, Joe Suzuki:
On d-Asymptotics for High-Dimensional Discriminant Analysis with Different Variance-Covariance Matrices. IEICE Trans. Inf. Syst. 95-D(12): 3106-3108 (2012) - [c17]Joe Suzuki:
Bayesian Network Structure Estimation Based on the Bayesian/MDL Criteria When Both Discrete and Continuous Variables Are Present. DCC 2012: 307-316 - [c16]Joe Suzuki:
Bayesian criteria based on universal measures. ISITA 2012: 71-75 - [i4]Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara:
Discovering causal structures in binary exclusive-or skew acyclic models. CoRR abs/1202.3736 (2012) - 2011
- [c15]Joe Suzuki:
MDL/Bayesian Criteria Based on Universal Coding/Measure. Algorithmic Probability and Friends 2011: 399-410 - [c14]Joe Suzuki:
The Universal Measure for General Sources and Its Application to MDL/Bayesian Criteria. DCC 2011: 478 - [c13]Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara:
Discovering causal structures in binary exclusive-or skew acyclic models. UAI 2011: 373-382 - 2010
- [c12]Joe Suzuki:
A Generalization of the Chow-Liu Algorithm and its Application to Artificial Intelligence. IC-AI 2010: 478-486 - [i3]Joe Suzuki:
A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning. CoRR abs/1002.2240 (2010) - [i2]Joe Suzuki:
Nonparametric Estimation and On-Line Prediction for General Stationary Ergodic Sources. CoRR abs/1002.4453 (2010)
2000 – 2009
- 2006
- [j5]Joe Suzuki:
On Strong Consistency of Model Selection in Classification. IEEE Trans. Inf. Theory 52(11): 4767-4774 (2006) - 2005
- [c11]U. Chandimal de Silva, Joe Suzuki:
On the stationary distribution of GAs with fixed crossover probability. GECCO 2005: 1147-1151 - 2004
- [j4]Joe Suzuki, Boris Ryabko:
Coding combinatorial sources with costs. IEEE Trans. Inf. Theory 50(5): 925-928 (2004) - [i1]Joe Suzuki:
Generalizing Kedlaya's order counting based on Miura Theory. IACR Cryptol. ePrint Arch. 2004: 129 (2004) - 2003
- [j3]Joe Suzuki:
Universal prediction and universal coding. Syst. Comput. Jpn. 34(6): 1-11 (2003) - 2000
- [c10]Ryuichi Harasawa, Joe Suzuki:
Fast Jacobian Group Arithmetic on CabCurves. ANTS 2000: 359-376
1990 – 1999
- 1999
- [c9]Junji Shikata, Yuliang Zheng, Joe Suzuki, Hideki Imai:
Optimizing the Menezes-Okamoto-Vanstone (MOV) Algorithm for Non-supersingular Elliptic Curves. ASIACRYPT 1999: 86-102 - [c8]Ryuichi Harasawa, Junji Shikata, Joe Suzuki, Hideki Imai:
Comparing the MOV and FR Reductions in Elliptic Curve Cryptography. EUROCRYPT 1999: 190-205 - 1998
- [j2]Joe Suzuki:
A further result on the Markov chain model of genetic algorithms and its application to a simulated annealing-like strategy. IEEE Trans. Syst. Man Cybern. Part B 28(1): 95-102 (1998) - [c7]Joseph H. Silverman, Joe Suzuki:
Elliptic Curve Discrete Logarithms and the Index Calculus. ASIACRYPT 1998: 110-125 - 1997
- [c6]Joe Suzuki:
On the Error Probability of Model Selection for Classification. AISTATS 1997: 513-520 - 1996
- [c5]Joe Suzuki:
A CTW Scheme for Non-Tree Sources. Data Compression Conference 1996: 454 - [c4]Joe Suzuki:
A Further Result on the Markov Chain Model of Genetic Algorithms and Its Application to a Simulated Annealing-like Strategy. FOGA 1996: 53-72 - [c3]Joe Suzuki:
Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique. ICML 1996: 462-470 - 1995
- [j1]Joe Suzuki:
A Markov chain analysis on simple genetic algorithms. IEEE Trans. Syst. Man Cybern. 25(4): 655-659 (1995) - 1993
- [c2]Joe Suzuki:
A Markov Chain Analysis on A Genetic Algorithm. ICGA 1993: 146-154 - [c1]Joe Suzuki:
A Construction of Bayesian Networks from Databases Based on an MDL Principle. UAI 1993: 266-273
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-25 20:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint