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Learning under singularity: an information criterion improving WBIC and sBIC
Lirui Liu, Joe Suzuki
Japanese Journal of Statistics and Data Science 2024/08/21 Research paper (scientific journal)
Publisher: Springer Science and Business Media LLC
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Generalization of LiNGAM that allows confounding
Joe Suzuki, Tian-Le Yang
International Symposium on Information Theory 2024/07
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Newton-Type Methods with the Proximal Gradient Step for Sparse Estimation.
Ryosuke Shimmura, Joe Suzuki
Oper. Res. Forum Vol. 5 No. 2 p. 27-27 2024/06 Research paper (scientific journal)
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Forest construction of Gaussian and discrete variables with the application of Watanabe Bayesian Information Criterion
Ashraful Islam, Joe Suzuki
Behaviormetrika Vol. 51 No. 2 p. 589-616 2024/04/12 Research paper (scientific journal)
Publisher: Springer Science and Business Media LLC
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Functional linear non-Gaussian acyclic model for causal discovery
Tian-Le Yang, Kuang-Yao Lee, Kun Zhang, Joe Suzuki
Behaviormetrika Vol. 51 No. 2 p. 567-588 2024/03/12 Research paper (scientific journal)
Publisher: Springer Science and Business Media LLC
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Dropout drops double descent
Tian-Le Yang, Joe Suzuki
Japanese Journal of Statistics and Data Science Vol. abs/2305.16179 2024/03/06 Research paper (scientific journal)
Publisher: Springer Science and Business Media LLC
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Latent Pushforward Measure for Gaussian Process
Yasuhiro Sekiya, Joe Suzuki
International Workshop on Deep Learning and Kernel Machines (DEEPK 2024) 2024/03
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Dropout Diminishes Double Descent Similar to Ridge
Tianle Yang, Joe Suzuki
International Workshop on Deep Learning and Kernel Machines (DEEPK 2024) 2024/03
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Estimation of a Simple Structure in a Multidimensional IRT Model Using Structure Regularization.
Ryosuke Shimmura, Joe Suzuki
Entropy Vol. 26 No. 1 p. 44-44 2024/01 Research paper (scientific journal)
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Extending Hilbert-Schmidt Independence Criterion for Testing Conditional Independence.
Bingyuan Zhang, Joe Suzuki
Entropy Vol. 25 No. 3 p. 425-425 2023/03 Research paper (scientific journal)
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Converting ADMM to a proximal gradient for efficient sparse estimation
Ryosuke Shimmura, Joe Suzuki
Japanese Journal of Statistics and Data Science Vol. 5 No. 2 p. 725-745 2022/12 Research paper (scientific journal)
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The Functional LiNGAM.
Tianle Yang, Joe Suzuki
PGM p. 25-36 2022 Research paper (international conference proceedings)
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Efficient Proximal Gradient Algorithms for Joint Graphical Lasso.
Jie Chen, Ryosuke Shimmura, Joe Suzuki
Entropy Vol. 23 No. 12 p. 1623-1623 2021/12 Research paper (scientific journal)
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An Efficient Algorithm for Convex Biclustering
Jie Chen, Joe Suzuki
Mathematics Vol. 9 No. 23 2021/11
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Causal Order Identification to Address Confounding: Binary Variables.
Joe Suzuki, Yusuke Inaoka
Behaviormetrika Vol. 49 No. 1 p. 5-21 2021/09 Research paper (scientific journal)
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Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables
Joe Suzuki
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS Vol. 13 No. 4 2021/07
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Sparse Estimation with Math and R - 100 Exercises for Building Logic
Joe Suzuki
p. 1-234 2021
Publisher: Springer
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Mutual Information Estimation: Independence Detection and Consistency.
Joe Suzuki
IEEE International Symposium on Information Theory(ISIT) p. 2514-2518 2019 Research paper (international conference proceedings)
Publisher: IEEE
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Forest Learning from Data and its Universal Coding
Joe Suzuki
IEEE Transactions on Information Theory Vol. 64 No. 12 2018/12 Research paper (scientific journal)
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Branch and Bound for Continuous Bayesian Network Structure Learning
Joe Suzuki
2018/09
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Branch and Bound for Regular Bayesian Network Structure learning
Uncertainty in Artificial Intelligence p. 212-221 2017/08 Research paper (international conference proceedings)
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Klein's fundamental 2-form of second kind for the $C_{ab}$ curves
Joe Suzuki
Symmetry Integrability and Geometry Methods and Applications 2017/03 Research paper (scientific journal)
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A Theoretical Analysis of the BDeu Scores in Bayesian Network Structure Learning
Joe Suzuki
Behaviormetrika Vol. 1 No. 1 p. 1-20 2017/01 Research paper (scientific journal)
Publisher: Springer
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An Estimator of Mutual Information and its Application to Independence Testing
Joe Suzuki
Entropy Vol. 16 No. 4 p. 104-104 2016/03 Research paper (scientific journal)
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Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation
Joe Suzuki
Lecture Notes on Artificial Intelligence Vol. 9505 p. 234-249 2015/11 Research paper (international conference proceedings)
Publisher: Springer
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Efficiently Learning Bayesian Network Structures Based on the B&B Strategy: A Theoretical Analysis
Joe Suzuki
Lecture Notes on Artificial Intelligence Vol. 9505 p. 1-14 2015/11 Research paper (international conference proceedings)
Publisher: Springer
-
Consistency of Learning Bayesian Network Structures with Continuous Variables: An Information Theoretic Approach
Joe Suzuki
Entropy Vol. 15 No. 8 p. 5752-5770 2015/08 Research paper (scientific journal)
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Bayes Independence Test
Takanori Ayano, Joe Suzuki
2014/11
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Learning Bayesian Network Structures with Discrete and Continuous Variables
Joe Suzuki
2014/11
-
Learning Bayesian network structures when discrete and continous variables are present
Joe Suzuki
2014/09 Research paper (international conference proceedings)
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The Chow-Lui algorithm based on the MLD when discreete and continuous variables are present
Joe Suzuki
2014/09
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Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM.
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
CoRR Vol. abs/1401.5636 2014 Research paper (scientific journal)
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The Universal Bayesian Chow-Liu Algorithm
Joe Suzuki
2013/10 Research paper (international conference proceedings)
-
Universal Bayesian Measures
Joe Suzuki
2013/07 Research paper (international conference proceedings)
-
Network Coding and PolyMatroid (Simple Survey)"
Joe Suzuki
2013/05 Research paper (international conference proceedings)
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On d-Asymptotics for High-Dimensional Discriminant Analysis with Different Variance-Covariance Matrices
Takanori Ayano, Joe Suzuki
IEICE Trans. on D 2012/12 Research paper (scientific journal)
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Universal Prediction without assuming either Discrete or Continuous
Joe Suzuki
2012/11
-
The Hannan-Quinn Proposition for Linear Regression
Joe Suzuki
International Journal of Statistics and Probability 2012/11 Research paper (scientific journal)
-
Bayesian Criteria based on Universal Measures
Joe Suzuki
2012/10 Research paper (international conference proceedings)
-
The Bayesian Chow-Liu Algorithms
Joe Suzuki
2012/09 Research paper (international conference proceedings)
-
Bayesian Network Structure Learning for Discrete and Continuous Variables
Joe Suzuki
2012/08 Research paper (international conference proceedings)
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Bayesian Network Structure Estimation Based on the Bayesian/MDL Criteria when Both Discrete and Continuous Variables are Present
Joe Suzuki
2012/04 Research paper (international conference proceedings)
-
MDL/Bayesian Criteria based on UniversalCoding/Measure
Joe Suzuki
2011/11 Research paper (international conference proceedings)
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Discovering causal structuresin binary exclusive-or skew acyclic models
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
CoRR Vol. abs/1202.3736 2011/07 Research paper (international conference proceedings)
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The Universal Measure for General Sources and its Application to MDL/Bayesian Criteria"
Joe Suzuki
Data Compression Conference 2011/03 Research paper (international conference proceedings)
Publisher: IEEE
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Discovering causal structures in binary exclusive-or skew acyclic models.
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 p. 373-382 2011
Publisher: AUAI Press
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A MARKOV CHAIN ANALYSIS OF GENETIC ALGORITHMS: LARGE DEVIATION PRINCIPLE APPROACH
Joe Suzuki
JOURNAL OF APPLIED PROBABILITY Vol. 47 No. 4 p. 967-975 2010/12 Research paper (scientific journal)
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A Generalization of Nonparametric Estimation and On-Line Prediction for Stationary Ergodic Sources
Joe Suzuki
2010/10 Research paper (international conference proceedings)
-
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial Intelligence
Joe Suzuki
2010/07 Research paper (international conference proceedings)
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Chow-Liu Algorithm for Generalized Random Values
Joe Suzuki
2010/04 Research paper (international conference proceedings)
-
Miura conjecture on Affine curves
Joe Suzuki
OSAKA JOURNAL OF MATHEMATICS Vol. 44 No. 1 p. 187-196 2007/03 Research paper (scientific journal)
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On strong consistency of model selection in classification
Joe Suzuki
IEEE TRANSACTIONS ON INFORMATION THEORY Vol. 52 No. 11 p. 4767-4774 2006/11 Research paper (scientific journal)
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On the Stationary Distribution of GAs with Positive Crossover Probability
Chandi DeSilva, Suzuki, J
GECCO Vol. 257-264 2005/06 Research paper (scientific journal)
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Coding combinatorial sources with costs
J Suzuki, B Ryabko
IEEE TRANSACTIONS ON INFORMATION THEORY Vol. 50 No. 5 p. 925-928 2004/05 Research paper (scientific journal)
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Universal Prediction and Universal Coding
Joe Suzuki
The Transactions of the Institute of Electronics,Information and Communication Engineers. Vol. 85 No. 5 p. 735-746 2002/05 Research paper (scientific journal)
Publisher: 電子情報通信学会
-
ユニバーサルな符号化とユニバーサルな予測
電子情報通信学会論文誌 Vol. DII 2002/05
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Performance of data compression in terms of Hausdorff dimension
K Hojo, BY Ryabko, J Suzuki
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. E84A No. 7 p. 1761-1764 2001/07 Research paper (scientific journal)
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Comparing the multilevel pattern matching code and the Lempel-Ziv codes
Boris Ya Ryabko, Joe Suzuki
IEEE International Symposium on Information Theory - Proceedings 2001/06 Research paper (scientific journal)
-
Jacobian Group Arithmetic for Cryptography
Ryuichi Harasawa, Joe Suzuki
2001/01 Research paper (scientific journal)
Publisher: 電子情報通信学会
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A fast Jacobian group arithmetic scheme for algebraic curve cryptography
R Harasawi, J Suzuki
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. E84A No. 1 p. 130-139 2001/01 Research paper (scientific journal)
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Combinatorial Source Coding with Costs
Joe Suzuki, Boris Ryabko
ISITA-2000 Honolulu,Hawaii p. 235-239 2000/11 Research paper (scientific journal)
-
Fast Jacobian Group Arithmetic on Cab Curves
Ryuichi Harasawa, Joe Suzuki
Lecture Note on Computer Science,the 4th Algorithmic Number Theory Sympojium p. 359-376 2000/07 Research paper (scientific journal)
Publisher: Springer-Verlag
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Realizing the Menezes-Okamoto-Vanstone(MOV)Reduction Efficiently for Ordinary Elliptic Curves
J. Shikata, Y. Zheng, J. Suzuki, H. Imai
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. 83 No. 4 p. 756-763 2000/04 Research paper (scientific journal)
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Optimizing the Menezes-Okamoto-Vanstone Algorithm for Non-Supersingular Elliptic Curves
J. Shikata, Y. Zheng, J. Suzuki, H. Imai
Lecture Note on Computer Science, Asiacrypt '99 1999/12 Research paper (scientific journal)
Publisher: Springer Verlag
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Learning Bayesian Belief Networks based on the Minimum Descripion length Principle : Basic Properties
Joe Suzuki
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. E82A No. 10 p. 2237-2245 1999/10 Research paper (scientific journal)
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楕円曲線暗号におけるMOV帰着とFR帰着の比較について
原澤隆一, 四方順司, 鈴木讓, 今井秀樹
電子情報通信学会論文誌A「代数曲線とその応用特集号」 p. 1278-1290 1999/08 Research paper (scientific journal)
Publisher: 電子情報通信学会
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Hausdorff Dimension as a New Dimension in Source Coding and Prediction
Boris Ryabko, Joe Suzuki, Flemming Topose
Proceedings of the 1999 IEEE Information Theory and Communications Workshop p. 66-68 1999/06 Research paper (scientific journal)
Publisher: IEEE Information Theory Workshop, Johannesburg, South Africa
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Comparing the MOV and FR Reductions in Elliptic Curve Cryptography
SUZUKI Jo
Proc. Eurocrypt'99 Vol. 82 No. 8 p. 1278-1290 1999/05 Research paper (scientific journal)
Publisher: Springer Verlag
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Learning Bayesian Belief Networks Based on the MLD Principle : An Efficient Algorithm Using the Branch and Bound Technique
Joe Suzuki
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS Vol. E82D No. 2 p. 356-367 1999/02 Research paper (scientific journal)
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Comparing the MOV and FR reductions in elliptic curve cryptography
R Harasawa, J Shikata, J Suzuki, H Imai
ADVANCES IN CRYPTOLOGY - EUROCRYPT'99 Vol. 1592 p. 190-205 1999 Research paper (scientific journal)
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It is not enough to use stationary ergodic source for analyzing universal Coding
Joe Suzuki, Boris Ryabko
Proc. of the Int. Symposium on Information Theory and Its Application '98, Mexico City, Mexico Vol. Vol. E84-A, No.1 1998/11 Research paper (scientific journal)
Publisher: SITA
-
A Relationship between Context Tree Weighting and General Model Weighting Techniques for Tree Sources
Joe Suzuki
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. E81A No. 11 p. 2412-2417 1998/10 Research paper (scientific journal)
-
Elliptic Curve Discrete Logarithms and the Index Calculus
SUZUKI Jo
ADVANCES IN CRYPTOLOGY - ASIACRYPT'98 Vol. 1514 p. 110-125 1998 Research paper (scientific journal)
-
Universal Coding and Universal Prediction
SUZUKI Jo
IMPRM-98, Novosivirsk, Russia 1998 Research paper (scientific journal)
Publisher: IMPRM-98, Novosivirsk, Russia
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A Further Result on the Markov Chain Model of GAs and Their Application to SA-like Strategy
SUZUKI Jo
FOGA-96, San Diego, CA p. 57-72 1998 Research paper (scientific journal)
Publisher: IEEE Trans. on Systems, Man, and Cybernetics
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A further result on the Markov chain model of genetic algorithms and its application to a simulated annealing-like strategy
Joe Suzuki
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics Vol. 28 No. 1 p. 95-102 1998 Research paper (scientific journal)
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On the Error Probability of Model Selection for Classification
SUZUKI Jo
p. 513-520 1997 Research paper (scientific journal)
Publisher: AIS-97, Fort Lauderdale, FL
-
Universal Prediction and Universal Coding
SUZUKI Jo
IEEE ISIT-97, Ulm, Germany 1997 Research paper (scientific journal)
Publisher: IEEE ISIT-97, Ulm, Germany
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Learning Bayesian Belief Networks Based on the Minimum Description Length Principle : an Efficient Algorithm using B & B Technique
SUZUKI Jo
ICML-96, Bari, Italy 1996 Research paper (scientific journal)
Publisher: ICML-96, Bari, Italy
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A CTW Scheme for Non-tree Sources
SUZUKI Jo
DCC '96 - DATA COMPRESSION CONFERENCE, PROCEEDINGS p. 454-454 1996 Research paper (scientific journal)
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A Markov Chain Analysis on Simple Genetic Algorithms
SUZUKI Jo
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS Vol. 25 No. 4 p. 655-659 1995 Research paper (scientific journal)
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An Extension 'An Extension on Learning Bayesian Bayesian Belief Networks Basedon MDL Principle'
SUZUKI Jo
PROCEEDINGS 1995 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY p. 232-232 1995 Research paper (scientific journal)
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A CTW Scheme for Some FMS Models
SUZUKI Jo
PROCEEDINGS 1995 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY p. 389-389 1995 Research paper (scientific journal)
-
Some Notes on Universal Noiseless Coding
SUZUKI Jo
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. 78 No. 12 p. 1840-1847 1995 Research paper (scientific journal)
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A PAC Learning Theoretical Analysis on Software Testing
SUZUKI Jo
the IEEE International Workshop on Information Theory p. 98-101 1994 Research paper (scientific journal)
Publisher: the IEEE International Workshop on Information Theory
-
Tighter Bounds on Universal Noiseless Coding for Finite Sequences
SUZUKI Jo
IEEE International Symposium on Information Theory - Proceedings 1994 Research paper (scientific journal)
Publisher: the IEEE ISIT-94
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On a Generalized Context Tree Weighting Scheme
SUZUKI Jo
the Fourhe Benelux-Japan Workshop of Information Theory Vol. 94 No. 171 p. 19-24 1994 Research paper (scientific journal)
Publisher: the Fourhe Benelux-Japan Workshop of Information Theory
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A Universal Coding Scheme Based on Minimizing Minimax Redundancy for Sources with Unknown Model
SUZUKI Jo
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. E76A No. 7 p. 1234-1239 1993 Research paper (scientific journal)
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Evaluations for Estimation of Information Source Based on State Decomposition
SUZUKI Jo
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES Vol. E76A No. 7 p. 1240-1251 1993 Research paper (scientific journal)
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A Markov Chain Analysis on a Genetic Algorithm
SUZUKI Jo
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS p. 146-153 1993 Research paper (scientific journal)
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A Construction of Bayesian Networks from Databases on an MDL Principle
SUZUKI Jo
the Ninth Congerence on Uncertainty in Artificial Intelligence p. 266-273 1993 Research paper (scientific journal)
Publisher: the Ninth Congerence on Uncertainty in Artificial Intelligence
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Selection of the Stochastic Model based on the Minimum Description Length Principle and State Decomposition
SUZUKI Joe, OHDAKE Yasutaka, HIRASAWA Shigeichi
Transactions of Information Processing Society of Japan Vol. Vol.33 No. No.11 p. 1281-1289 1992 Research paper (scientific journal)
Publisher: Information Processing Society of Japan (IPSJ)
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記延長最小規準と状態分割の立場から見た確率的規則の学習
鈴木讓
Vol.J75-A/No.8,1412-1421 Vol. Vol.J75-A No. No.8 p. 1412-1421 1992 Research paper (scientific journal)
Publisher: IEICE Trans. on Fundamentals of Electronics, Communications and Communications and Computer Science
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The Optimal Estimation of an Information Source in an Extended Neyman-Pearson Sense
SUZUKI Jo
International Conference on Economics / Managemant and Information Technology p. 585-588 1992 Research paper (scientific journal)
Publisher: International Conference on Economics / Managemant and Information Technology
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Toshiyasu Matsushima, Joe Suzuki, Hiroshige Inazumi, Shigeichi Hirasawa, ``Inductive Inference Scheme at a Finite Stage of Process from a Viewpoint of Source Coding''
IEICE Trans. on Fundamentals. Vol. Vol. E73, No. 5, pages 644-652/, 1990/05
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An efficient user interface based on maximizing shared information
Joe Suzuki, Toshiyasu Matsushima, Shigeichi Hirsawa, Hiroshige Inazumi
Electronics and Communications in Japan (Part III: Fundamental Electronic Science) Vol. 73 No. 5 p. 40-49 1990 Research paper (scientific journal)
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情報による不確実な知識の表現法と推論に関する考察(共著)
鈴木讓
/第131号,38-51 1990 Research paper (bulletin of university, research institution)
Publisher: 早稲田大学理工学研究所報告
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Inductive Inference Scheme at a Finite Stage of Process from a Viewpoint of Source Coding (共著)
SUZUKI Jo
1990 Research paper (scientific journal)
Publisher: IEICE Trans
-
Generalization of the Learning Method for Classifying Rules with Consistency Irrespective of the Classified Patterns and the Representation Form
SUZUKI Jo
ISITA-90 p. 495-498 1990 Research paper (scientific journal)
Publisher: ISITA-90
-
On the Optimal Inductive Inference Scheme from the Viewpoint of Source Coding(共著)
SUZUKI Jo
IEEE ISIT-90 1990 Research paper (scientific journal)
Publisher: IEEE ISIT-90
-
Design Method of User Interface for Minimizing the Number of Questions and Answers (共著)
SUZUKI Jo
No. No.53 p. 85-101 1990 Research paper (bulletin of university, research institution)
Publisher: 早稲田大学理工学部紀要
-
Stopping rules based on a posteriori probability for every pattern and every stage
Joe Suzuki, Toshiyasu Matsushima, Shigeichi Hirasawa, Hiroshige Inazumi
Electronics and Communications in Japan (Part III: Fundamental Electronic Science) Vol. 72 No. 8 p. 71-82 1989 Research paper (scientific journal)
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質問応答回数最小をねらいとした知的インタフェイスの設計(共著)
鈴木讓
vol.8/Autumn,41-48 1989 Research paper (bulletin of university, research institution)
Publisher: 早稲田大学情報科学教育研究センター紀要
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相互情報量最小最大に基準をおくユーザーインタフェイスの効率化(共著)
鈴木讓
Vol.J72-A/No.3,517-524 Vol. Vol.J72-A No. No.3 p. 517-524 1989 Research paper (scientific journal)
Publisher: 電子情報通信学会論文誌A
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Design method of intelligent interface for minimizing the number of questions and answers
Joe Suzuki, Toshiyasu Matsushima, Shigeichi Hirasawa, Hiroshige Inazumi
Bulletin of Centre for Informatics (Waseda University) Vol. 8 p. 41-48 1988/09 Research paper (scientific journal)
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パターンごとステージごとに事後確率のしきい値をおくストッピングルール(共著)
鈴木讓
Vol.J71-A/No.6,1299-1308 Vol. Vol.J71-A No. No.6 p. 1299-1308 1988 Research paper (scientific journal)
Publisher: 電子情報通信会学会論文誌 A
-
On Uncertain Logic Based Upon Information Theory (共著)
SUZUKI Jo
IEEE ISIT-88 1988 Research paper (scientific journal)
Publisher: IEEE ISIT-88
-
Feature Ordering and Stopping Rule Based on Maximizing Mutual Imformation (共著)
SUZUKI Jo
IEEE ISIT-88 1988 Research paper (scientific journal)
Publisher: IEEE ISIT-88
