SUZUKI Jyo 鈴木譲

… Alternative Names

Suzuki Joe 鈴木譲

SUZUKI Joe 鈴木譲

鈴木嬢スズキジョウ

鈴木讓スズキジョウ

鈴木譲スズキジョウ

Less

Researcher Number	50216397
Other IDs	https://orcid.org/0000-0002-3195-9922
External Links
Affiliation (Current)	2025: 大阪大学, 大学院基礎工学研究科, 教授
Affiliation (based on the past Project Information) *help	2022 – 2023: 大阪大学, 大学院基礎工学研究科, 教授 2018 – 2021: 大阪大学, 基礎工学研究科, 教授 2012 – 2015: 大阪大学, 理学(系)研究科(研究院), 准教授 2009 – 2012: 大阪大学, 大学院・理学研究科, 准教授 1998 – 2006: Osaka University Graduate school of Science Associate Professor, 大学院・理学研究科, 助教授 … More 2004 – 2005: 大阪大学, 理学研究科, 助教授 1997: 大阪大学, 大学院・理学研究科, 講師 1994 – 1995: 大阪大学, 理学部, 講師 1991: Waseda Univ. Industrial Eng. and Manag. Assistant, 理工学部, 助手 Less
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Intelligent informatics / Intelligent informatics / General mathematics (including Probability theory/Statistical mathematics) / 計算機科学 Except Principal Investigator Algebra / General mathematics (including Probability theory/Statistical mathematics) / General mathematics (including Probability theory/Statistical mathematics) / 電子通信系統工学
Keywords	Principal Investigator 独立性検定 / ベイジアンネットワーク / MDL原理 / 因果推論 / LiNGAM / 相互情報量 / 機械学習 / グラフィカルモデル / 事後確率最大 / モデル選択 … More / 一致性 / 分岐限定法 / Bayesian Network / ゲノム解析 / 相互情報量の推定 / 森の生成 / Jacobian group / Information Security / Discrete Logarithm / Non Singular Curve / 整数論 / 楕円曲線 / Index Calculus / 情報セキュリティ / 代数曲線 / ヤコビアン群 / 位数計算 / 離散対数問題 / 非特異代数曲線 / lranch and bound lechuzue / a prior knowledge / machine learning / Baysian Networks / MDL principle / ネットワーク構造 / 帰納推論 / 事前知識 / Bayes推定 / Chow-Liuアルゴリズム / Bayesianネットワーク / 強一致性 / MDL / 離散と連続が混合 / 計算量の削減 / 独立性の検定 / 相互情報量の検定 / 構造学習 / Hannan-Quinn / 線形回帰分析 / 離散変数と連続変数 / 因果同定 / 統計科学 / ガウシアン / 情報量基準 / ベイズネット / LZ符号 / コルモゴロフ複雑さ / ハウスドルフ次元 / データ圧縮 / ユニバーサル圧縮 / Haussdorff次元 / 不確実な知識 / DP … More Except Principal Investigator ISDN / 楕円曲線 / 有理点群 / ヤコビ多様体 / 代数曲線 / asymptotics / representation theory / martingale / Cramer-Rao inequality / adaptive estimation / information geometry / complete positivity / quantum channel / 量子Fisher情報量 / 非可換統計学 / Pauli通信路(パウリ通信路) / エンタングルド状態 / 量子幾何 / 量子情報 / パラメータ推定 / 漸近論 / 表現論 / マーチンゲール / クラメル・ラオ不等式 / 適応的推定 / 情報幾何学 / 完全正写像 / 量子通信路 / self-affine set / dimension spectrum / multifractal / ソフィック測度 / ルジャンドル変換 / 特異性スペクトル / 自己ファイン集合 / 自己アファイン集合 / 次元スペクトル / マルチフラクタル / Galois group / Division points / Elliptic curve / Abelian variety / Jacobian variety / Algebraic curve / ガロワ拡大 / 等分方程式 / 超楕円曲線 / ガロワ群 / 等分点 / アーベル多様体 / FAX / Workstation / Access control / IC card / Document image / Security / Database / アクセスコントロ-ル / TSDN / ファクシミリ / ワ-クステ-ション / アクセス制御 / ICカ-ド / 文書画像 / 機密保護 / デ-タベ-ス / ランダム-ワイル-サンプリング / ペア毎に独立なサンプリング / 疑似乱数の安全性 / 無理数回転 / 安全な疑似乱数生成器 / 乱数 / 疑似乱数 / モンテカルロ法 / 計算機科学 / 確率論 / 標準的べき級数 / 保型関数体 / ヤコビ多様の整数論 / ゼータ関数 / 数式処理 / Kruskal-Katona定理 / グレブナ-基底 / Cohen-Macaulay型 / 単体的複体 / 凸多面体 / 単項式イデアル / 有限自由分解 / 多項式環 Less

Generalization of LiNGAM for confoundingPrincipal Investigator
- Principal Investigator
  
  鈴木譲
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Osaka University
Estimation of Mutual Information for Continuous Variables and its Applications to Graphical Model ConstructionPrincipal Investigator
- Principal Investigator
  
  Suzuki Joe
- Project Period (FY)
  2018 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Osaka University
Bayesian network structure learning when discrete and continuous variables are present.Principal Investigator
- Principal Investigator
  
  Suzuki Joe
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
Consistency of Bayesian Network Structure LearningPrincipal Investigator
- Principal Investigator
  
  SUZUKI Joe
- Project Period (FY)
  2009 – 2012
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
モンテカルロ法における安全な疑似乱数生成器の研究
- Principal Investigator
  
  杉田洋
- Project Period (FY)
  2004 – 2006
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Osaka University
Statistical Estimation Theory for Quantum Channels
- Principal Investigator
  
  FUJIWARA Akio
- Project Period (FY)
  2003 – 2005
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Osaka University
Discrete Logarithm Problem Nd Information SecurityPrincipal Investigator
- Principal Investigator
  
  SUZUKI Joe
- Project Period (FY)
  2001 – 2003
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Osaka University
Hausdorff次元を用いたユニバーサルデータ圧縮の評価Principal Investigator
- Principal Investigator
  
  鈴木譲
- Project Period (FY)
  2000 – 2001
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  計算機科学
- Research Institution
  Osaka University
Multivariable multifractal analysis
- Principal Investigator
  
  TAKAHASHI Satoshi
- Project Period (FY)
  2000 – 2003
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Nara Women's University
数式処理による代数曲線のヤコビ多様体の整数論
- Principal Investigator
  
  YAMAMOTO Yoshihiko
- Project Period (FY)
  1998 – 1999
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  Algebra
- Research Institution
  Osaka University
Learning Baysian Networks based on the MDL principlePrincipal Investigator
- Principal Investigator
  
  SUZUKI Joe
- Project Period (FY)
  1997 – 1998
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
単項式イデアルの極小自由分解の研究
- Principal Investigator
  
  日比孝之
- Project Period (FY)
  1995
- Research Category
  
  Grant-in-Aid for General Scientific Research (C)
- Research Field
  
  Algebra
- Research Institution
  Osaka University
MDL原理に基づくBayesion Networkの自動生成Principal Investigator
- Principal Investigator
  
  鈴木讓
- Project Period (FY)
  1994
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
Arithmetics on Jacobian Varieties
- Principal Investigator
  
  YAMAMOTO Yoshihiko
- Project Period (FY)
  1994 – 1995
- Research Category
  
  Grant-in-Aid for General Scientific Research (B)
- Research Field
  
  Algebra
- Research Institution
  Osaka University
Management and access control method for secret documents in the public database center
- Principal Investigator
  
  TOMINAGA Hideyoshi
- Project Period (FY)
  1990 – 1991
- Research Category
  
  Grant-in-Aid for General Scientific Research (B)
- Research Field
  
  電子通信系統工学
- Research Institution
  Waseda University

[Book] WAIC and WBIC with R Stan: 100 Exercises for Building Logic2023
- Author(s)
  Suzuki, Joe
- Total Pages
  230
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] WAIC and WBIC with Python Stan: 100 Exercises for Building Logic2023
- Author(s)
  Suzuki, Joe
- Total Pages
  242
- Publisher
  Springer
- ISBN
  9789819938414
- Data Source
  KAKENHI-PROJECT-22K11931
[Book] WAIC and WBIC with R Stan: 100 Exercises for Building Logic2023
- Author(s)
  Suzuki, Joe
- Total Pages
  239
- Publisher
  Springer
- ISBN
  9789819938377
- Data Source
  KAKENHI-PROJECT-22K11931
[Book] WAIC and WBIC with Python Stan: 100 Exercises for Building Logic2023
- Author(s)
  Suzuki, Joe
- Total Pages
  230
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] 渡辺澄夫ベイズ理論 with R/Stan2023
- Author(s)
  鈴木讓
- Total Pages
  242
- Publisher
  共立出版
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] 渡辺澄夫ベイズ理論100問 with R/Stan2023
- Author(s)
  鈴木讓
- Total Pages
  238
- Publisher
  共立出版
- ISBN
  9784320125148
- Data Source
  KAKENHI-PROJECT-22K11931
[Book] Kernel Methods for Machine Learning with Math and R2022
- Author(s)
  Joe Suzuki
- Total Pages
  196
- Publisher
  Springer
- ISBN
  9789811903977
- Data Source
  KAKENHI-PROJECT-22K11931
[Book] Kernel Methods for Machine Learning with Math and Python2022
- Author(s)
  Joe Suzuki
- Total Pages
  208
- Publisher
  Springer
- ISBN
  9789811904004
- Data Source
  KAKENHI-PROJECT-22K11931
[Book] Kernel Methods for Machine Learning with Math and R2022
- Author(s)
  Joe Suzuki
- Total Pages
  196
- Publisher
  Springer
- ISBN
  9789811903977
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] Kernel Methods for Machine Learning with Math and Python2022
- Author(s)
  Joe Suzuki
- Total Pages
  208
- Publisher
  Springer
- ISBN
  9789811904004
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] スパース推定100問 with Python2021
- Author(s)
  鈴木讓
- Total Pages
  260
- Publisher
  共立出版
- ISBN
  9784320125094
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] 機械学習のためのカーネル100問 with Python2021
- Author(s)
  鈴木讓
- Total Pages
  216
- Publisher
  共立出版
- ISBN
  9784320125131
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] Sparse Estimation with Math and Python: 100 Exercises for Building Logic2021
- Author(s)
  Suzuki, Joe
- Total Pages
  250
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] 機械学習のためのカーネル100問 with R2021
- Author(s)
  鈴木讓
- Total Pages
  200
- Publisher
  共立出版
- ISBN
  9784320125124
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] Sparse Estimation with Math and R: 100 Exercises for Building Logic2021
- Author(s)
  Suzuki, Joe
- Total Pages
  240
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] Statistical Learning with Math and Python: 100 Exercises for Building Logic2021
- Author(s)
  Suzuki, Joe
- Total Pages
  220
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] Statistical Learning with Math and R2020
- Author(s)
  Joe Suzuki
- Total Pages
  220
- Publisher
  Springer
- ISBN
  9789811575686
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] 統計的機械学習の数理100問 with R2020
- Author(s)
  鈴木讓
- Total Pages
  256
- Publisher
  共立出版
- ISBN
  9784320125063
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] 統計的機械学習の数理100問 with Python2020
- Author(s)
  鈴木讓
- Total Pages
  272
- Publisher
  共立出版
- ISBN
  9784320125070
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] スパース推定100問 with R2020
- Author(s)
  鈴木讓
- Total Pages
  240
- Publisher
  共立出版
- ISBN
  9784320125087
- Data Source
  KAKENHI-PROJECT-18K11192
[Book] ベイジアンネットワーク入門2009
- Author(s)
  鈴木譲
- Total Pages
  211
- Publisher
  培風館
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] Forest construction of Gaussian and discrete variables with the application of Watanabe Bayesian Information Criterion2024
- Author(s)
  Islam Ashraful、Suzuki Joe
- Journal Title
  
  Behaviormetrika
  
  Volume: 51 Issue: 2 Pages: 1-1
- DOI
  10.1007/s41237-024-00227-4
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K11931, KAKENHI-PROJECT-18K11192
[Journal Article] Dropout drops double descent2024
- Author(s)
  Yang Tian-Le、Suzuki Joe
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 7 Issue: 2 Pages: 1-1
- DOI
  10.1007/s42081-024-00242-5
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K11931, KAKENHI-PROJECT-18K11192
[Journal Article] Newton-Type Methods with the Proximal Gradient Step for Sparse Estimation2024
- Author(s)
  Shimmura Ryosuke、Suzuki Joe
- Journal Title
  
  Operations Research Forum
  
  Volume: 5 Issue: 2 Pages: 1-1
- DOI
  10.1007/s43069-024-00307-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K11931, KAKENHI-PROJECT-18K11192, KAKENHI-PROJECT-23KJ1458
[Journal Article] Functional linear non-Gaussian acyclic model for causal discovery2024
- Author(s)
  Yang Tian-Le、Lee Kuang-Yao、Zhang Kun、Suzuki Joe
- Journal Title
  
  Behaviormetrika
  
  Volume: 51 Issue: 2 Pages: 1-1
- DOI
  10.1007/s41237-024-00226-5
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K11931, KAKENHI-PROJECT-18K11192
[Journal Article] Extending Hilbert?Schmidt Independence Criterion for Testing Conditional Independence2023
- Author(s)
  Zhang Bingyuan、Suzuki Joe
- Journal Title
  
  Entropy
  
  Volume: 25 Issue: 3 Pages: 425-425
- DOI
  10.3390/e25030425
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11192, KAKENHI-PROJECT-22K11931
[Journal Article] Estimation of a Simple Structure in a Multidimensional IRT Model Using Structure Regularization2023
- Author(s)
  Shimmura Ryosuke、Suzuki Joe
- Journal Title
  
  Entropy
  
  Volume: 26 Issue: 1 Pages: 44-44
- DOI
  10.3390/e26010044
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K11931, KAKENHI-PROJECT-18K11192, KAKENHI-PROJECT-23KJ1458
[Journal Article] Converting ADMM to a proximal gradient for efficient sparse estimation2022
- Author(s)
  Shimmura Ryosuke、Suzuki Joe
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 5 Issue: 2 Pages: 725-745
- DOI
  10.1007/s42081-022-00150-6
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K11192, KAKENHI-PROJECT-22K11931
[Journal Article] The Functional LiNGAM2022
- Author(s)
  Tianle Yang, Joe Suzuki
- Journal Title
  
  PMLR (Probabilistic Graphical Models)
  
  Volume: 186 Pages: 25-36
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K11192
[Journal Article] Why BDeu ? Regular Bayesian network structure learning with discrete and continuous variables2021
- Author(s)
  Suzuki Joe
- Journal Title
  
  WIREs Computational Statistics
  
  Volume: 1 Issue: 4 Pages: 1-1
- DOI
  10.1002/wics.1554
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11192
[Journal Article] Causal order identification to address confounding: binary variables2021
- Author(s)
  Suzuki Joe、Inaoka Yusuke
- Journal Title
  
  Behaviormetrika
  
  Volume: 49 Issue: 1 Pages: 5-21
- DOI
  10.1007/s41237-021-00149-5
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K11192
[Journal Article] Efficient Proximal Gradient Algorithms for Joint Graphical Lasso2021
- Author(s)
  Chen Jie、Shimmura Ryosuke、Suzuki Joe
- Journal Title
  
  Entropy
  
  Volume: 23 Issue: 12 Pages: 1623-1623
- DOI
  10.3390/e23121623
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192, KAKENHI-PROJECT-22K11931
[Journal Article] An Efficient Algorithm for Convex Biclustering2021
- Author(s)
  Chen Jie、Suzuki Joe
- Journal Title
  
  Mathematics
  
  Volume: 9 Issue: 23 Pages: 3021-3021
- DOI
  10.3390/math9233021
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Journal Article] 統計学の使い方より，本質を見抜く力―機械学習の数理 100問シリーズと凸最適化への期待 ―2020
- Author(s)
  鈴木讓
- Journal Title
  
  オペレーションズ・リサーチ
  
  Volume: 65 Pages: 551-556
- Data Source
  KAKENHI-PROJECT-18K11192
[Journal Article] Forest Learning From Data and its Universal Coding2018
- Author(s)
  Suzuki, Joe
- Journal Title
  
  IEEE Transactions on Information Theory
  
  Volume: 64 Issue: 11 Pages: 7349-7358
- DOI
  10.1109/tit.2018.2869215
- Data Source
  KAKENHI-PROJECT-18K11192
[Journal Article] Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation2016
- Author(s)
  Joe Suzuki
- Journal Title
  
  Lecture Notes on Artificial Intelligence, Springer
  
  Volume: 9505 Pages: 234-249
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Efficiently Learning Bayesian Network Structure based on B&B2016
- Author(s)
  Joe Suzuki
- Journal Title
  
  Lecture Notes on Artificial Intelligence, Springer
  
  Volume: 9505 Pages: 1-14
- DOI
  10.1007/978-3-319-28379-1_1
- ISBN
  9783319283784, 9783319283791
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] An Estimator of Mutual Information and its Application to Independence Testing Joe Suzuki2016
- Author(s)
  Joe Suzuki
- Journal Title
  
  Entropy
  
  Volume: 18(4) Issue: 4 Pages: 109-129
- DOI
  10.3390/e18040109
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Consistency of Learning Bayesian Network Structures with Continuous Variables: An Information Theoretic Approach2015
- Author(s)
  Joe Suzuki
- Journal Title
  
  Entropy
  
  Volume: 17(8) Issue: 8 Pages: 5752-5770
- DOI
  10.3390/e17085752
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present2014
- Author(s)
  Joe Suzuki
- Journal Title
  
  Lecture Note on Artificial Intelligence, Springer
  
  Volume: 8754 Pages: 471-486
- DOI
  10.1007/978-3-319-11433-0_31
- NAID
  110009795441
- ISBN
  9783319114323, 9783319114330
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] MDIBayesian Criteria based on Universal Coding/Measure2013
- Author(s)
  Joe Suzuki
- Journal Title
  
  Solomonoff 85th Memorial Conference, Lecture Note on Artificial Intelligence, Springer
  
  Volume: 7070(印刷中)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] MDL/Bayesian Criteria Based on Universal Coding/Measure2013
- Author(s)
  Joe Suzuki
- Journal Title
  
  Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
  
  Volume: LNAI 7070 Pages: 399-410
- DOI
  10.1007/978-3-642-44958-1_31
- ISBN
  9783642449574, 9783642449581
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Bayesian Network Structure Estimation Based on the Bayesian/MDL Criteria When Both Discrete and Continuous Variables Are Present2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  Data Compression Conference (DCC)
  
  Volume: 1 Pages: 307-316
- DOI
  10.1109/dcc.2012.37
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] On d-Asymptotics for High-Dimensional Discriminant Analysis with Different Variance-Covariance Matrices2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  IEICE Trans
  
  Volume: 1 Pages: 3106-3108
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Bayesian network structure learning for discrete and continuous variables2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  Uncertainty Reasoning and Knowledge Engineering (URKE)
  
  Volume: 1 Pages: 141-144
- DOI
  10.1109/urke.2012.6319529
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Bayesian Criteria based on Universal Measures2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  Information Theory and its Applications (ISITA)
  
  Volume: 1 Pages: 71-75
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Bayesian Network Structure Estimation Based on the Bayesian/MDL Criteria when Both Discrete and Continuous Variables are Present2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  Proc of Data Compression Conference
  
  Pages: 233-244
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] The Bayesian Chow-Liu Algorithm2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  Probabilistic Graphical Models
  
  Volume: 1 Pages: 315-322
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] The Hannan-Quinn Proposition for Linear Regression2012
- Author(s)
  Joe Suzuki
- Journal Title
  
  International Journal of Statistics and Probability
  
  Volume: 1 Issue: 2 Pages: 180-185
- DOI
  10.5539/ijsp.v1n2p179
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24500172
[Journal Article] Discovering Causal Struct vires in Binary Exclusive-or Skew Acyclic Models2011
- Author(s)
  T. Inazumi, T. Washio, S. Shimizu, J. Suzuki, A. Yamamoto, Y. Kawahara
- Journal Title
  
  Proc. UAI2011 : The 27th Conf. on Uncertainty in Artificial Intelligence
  
  Volume: 27 Pages: 373-380
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] ベイジアンネットワークと代数幾何2010
- Author(s)
  鈴木譲
- Journal Title
  
  人工知能学会誌
  
  Volume: vol.25,no.6 Pages: 826-833
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] (書評)"ベイジアンネットワークの統計的推論の数理,田中和之"2010
- Author(s)
  鈴木譲
- Journal Title
  
  数理科学(サイエンス社)
  
  Volume: 567 Pages: 967-975
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] A Markov Chain Analysis on Genetic Algorithms - Large Deviation Principle Approach -2010
- Author(s)
  Joe Suzuki
- Journal Title
  
  Journal of Applied Probability
  
  Volume: Volume 47, Number 4Volume 47, Number 4 Pages: 967-975
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] A Markov Chain Analysis of Genetic Algorithms : Large Deviation Principle Approach2010
- Author(s)
  Joe Suzuki
- Journal Title
  
  J.Applied Probability
  
  Volume: 47 Pages: 967-975
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] ベイジアンネットワークの統計的推論の数理,田中和之2010
- Author(s)
  鈴木譲
- Journal Title
  
  数理科学(サイエンス社)
  
  Volume: No.567
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] ベイジアンネットワークにおける代数幾何2010
- Author(s)
  鈴木譲
- Journal Title
  
  人工知能学会誌
  
  Volume: 25 Pages: 826-833
- Data Source
  KAKENHI-PROJECT-21500138
[Journal Article] On the stationary distribution of GAs with fixed crossover probability2005
- Author(s)
  U.Chandimal de Silva, Joe Suzuki
- Journal Title
  
  GECCO 2005
  
  Pages: 1147-1151
- Data Source
  KAKENHI-PROJECT-16654021
[Journal Article] Coding combinatorial sources with costs2004
- Author(s)
  J.SUZUKI, B.RYABUKO
- Journal Title
  
  IEEE Trans. Inform. Theory 50-5
  
  Pages: 825-928
- Data Source
  KAKENHI-PROJECT-16654021
[Journal Article] Coding combinatorial sources with costs2004
- Author(s)
  Suzuki, Joe, Ryabko, Boris
- Journal Title
  
  IEEE Trans. Inform. Theory 50-5
  
  Pages: 925-928
- Data Source
  KAKENHI-PROJECT-16654021
[Presentation] Dropout Diminishes Double Descent Similar to Ridge2024
- Author(s)
  Tianle Yang and Joe Suzuki
- Organizer
  International Workshop on Deep Learning and Kernel Machines, Leuven
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] Latent Pushforward Measure for Gaussian Process2024
- Author(s)
  Yasuhiro Sekiya, Joe Suzuki
- Organizer
  International Workshop on Deep Learning and Kernel Machines, Leuven
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] Latent Pushforward Measure for Gaussian Process2024
- Author(s)
  Yasuhiro Sekiya, Joe Suzuki
- Organizer
  International Workshop on Deep Learning and Kernel Machines, Leuven
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K11931
[Presentation] Dropout Diminishes Double Descent Similar to Ridge2024
- Author(s)
  Tianle Yang, Joe Suzuki
- Organizer
  International Workshop on Deep Learning and Kernel Machines, Leuven
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K11931
[Presentation] Extension of LiNGAM to functional data2023
- Author(s)
  Tianle Yang and Joe Suzuki
- Organizer
  The 6th International Conference on Econometrics and Statistics (EcoSta 2023), Tokyo
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] Extension of LiNGAM to functional data2023
- Author(s)
  Tianle Yang and Joe Suzuki
- Organizer
  The 6th International Conference on Econometrics and Statistics (EcoSta 2023), Tokyo
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K11931
[Presentation] Solve 100 Problems of Math and R/Python for Statistical Learning2022
- Author(s)
  Suzuki, Joe
- Organizer
  IASC-ARS2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] A Proximal Gradient Method for Convex Clustering2020
- Author(s)
  新村亮介、鈴木讓
- Organizer
  IBIS研究会
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] A Causal Order Identification extended for dealing with Confounding: Discrete Variables J SUZUKI, Y INAOKA 電子情報通信学会技術研究報告 (Web) 120 (195 (IBISML2020 8-33)), 49-542020
- Author(s)
  稲岡雄介、鈴木讓
- Organizer
  IBIS研究会
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] 統計学の使い方より本質を見抜く力2020
- Author(s)
  鈴木讓
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] 交絡の存在を許容するLiNGAMの一般化2020
- Author(s)
  鈴木讓
- Organizer
  IBISワークシップ
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] 機械学習の数理100問のR言語バージョン2019
- Author(s)
  鈴木讓
- Organizer
  データ解析環境Rの整備と利用
- Invited
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] Mutual Information Estimation: Independence Detection and Consistency2019
- Author(s)
  Joe Suzuki
- Organizer
  IEEE International Symposium on Information Theory
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] R パッケージ BNSL: 連続と離散を区別しない無向森とDAGの構造学習2019
- Author(s)
  鈴木讓
- Organizer
  人工知能学会人工知能基本問題研究会
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] 日本行動計量学会47大会2019
- Author(s)
  鈴木讓
- Organizer
  The Branch and Bound for Bayesian Network Structure Learning
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] Branch and Bound for Continuous Bayesian Network Structure Learning2018
- Author(s)
  Joe Suzuki
- Organizer
  Workshop on Probabilistic Graphical Models
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] E-learning Development of Statistics and in Duex: Practical Approaches and their Tips for High-Quality Courses2018
- Author(s)
  Joe Suzuki
- Organizer
  International Conference on Education of Data Science
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] 分枝限定法でモデル選択の計算量を低減する2018
- Author(s)
  鈴木讓
- Organizer
  行動計量学会第46回大会
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] RパッケージBNSLで、大規模なグラフを構成する2018
- Author(s)
  鈴木讓
- Organizer
  人工知能学会合同研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] 情報量基準を用いた混合正規分布のモデル推定2018
- Author(s)
  吉岡凛太郎, 鈴木讓
- Organizer
  行動計量学会第46回大会
- Data Source
  KAKENHI-PROJECT-18K11192
[Presentation] Bayesian Networkの構造学習における分枝限定法の適用に関する考察2016
- Author(s)
  岩本俊亮、鈴木譲
- Organizer
  科研費A(青嶋誠)「統計学と機械学習における数理とモデリング」
- Place of Presentation
  東京工業大学
- Year and Date
  2016-02-21
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Structure Learning of Bayesian Networks with p Nodes from n Samples when n<<p2016
- Author(s)
  鈴木譲
- Organizer
  Workshop on Probabilistic Graphical Models
- Place of Presentation
  統計数理研究所
- Year and Date
  2016-03-23
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Efficiently Learning Bayesian Network Structure based on B&B2016
- Author(s)
  Joe Suzuki
- Organizer
  Advanced Methodologies for Bayesian Networks
- Place of Presentation
  慶應義塾大学日吉キャンパス
- Year and Date
  2016-11-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] スパースな状況 (n << p) で、モデル選択の計算効率を向上するには2016
- Author(s)
  鈴木譲
- Organizer
  日本数学会春季年会
- Place of Presentation
  筑波大学
- Year and Date
  2016-03-16
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 欠損データを含む場合の森構造学習のベイズ最適化とゲノム解析への応用2016
- Author(s)
  鈴木譲
- Organizer
  科研費B(狩野裕)「」
- Place of Presentation
  大阪大学豊中キャンパス
- Year and Date
  2016-01-22
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Bayesianネットワークの構造学習における分枝限定法の適用2016
- Author(s)
  鈴木譲
- Organizer
  人工知能学会 FPAI研究会
- Place of Presentation
  熊本市
- Year and Date
  2016-03-27
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 正確な相互情報量を推定するRパッケージ correct.miと、株価予測への応用2016
- Author(s)
  鈴木譲
- Organizer
  人工知能学会 FPAI研究会
- Place of Presentation
  和歌山大学
- Year and Date
  2016-08-07
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Forest Learning Based on the Chow-Liu Algorithm and its Application to Genome Differential Analysis2015
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報理論とその応用シンポジウム
- Place of Presentation
  岡山県倉敷市
- Year and Date
  2015-11-24
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] ベイズ的な相互情報量の推定と独立性検定への応用2015
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会 IBISML 研究会
- Place of Presentation
  沖縄科学技術大学院大学
- Year and Date
  2015-06-23
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 離散や連続を区別しない相互情報量の推定と，その強一致性について2015
- Author(s)
  鈴木譲
- Organizer
  統計関連学会連合大会
- Place of Presentation
  岡山大学
- Year and Date
  2015-09-06
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 「グラフィカルモデルによる遺伝子の多重選択のアプローチ2015
- Author(s)
  鈴木譲
- Organizer
  科研費A(青嶋誠)「生命科学データ解析の方法論と健康科学への応用」
- Place of Presentation
  東京大学医科学研究所
- Year and Date
  2015-10-16
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation2015
- Author(s)
  Joe Suzuki
- Organizer
  Advanced Methodologies for Bayesian Networks
- Place of Presentation
  慶應義塾大学日吉キャンパス
- Year and Date
  2015-11-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] A Shortest Path Perspective of Bayesian Network Structure Learning: Finding Conditional Independence Relations2015
- Author(s)
  Joe Suzuki, Shunsuke Iwamoto
- Organizer
  Advanced Methodologies for Bayesian Networks
- Place of Presentation
  慶應日吉大学日吉キャンパス
- Year and Date
  2015-11-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Bayes Independence Test2014
- Author(s)
  Takanori Ayano, Joe Suzuki
- Organizer
  JSAI GABA 2014
- Place of Presentation
  慶応義塾大学日吉キャンパス, 神奈川県
- Year and Date
  2014-11-23
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 連続データと離散データのあいだの因果関係の同定2014
- Author(s)
  鈴木譲，清水昌平，鷲尾隆
- Organizer
  人工知能学会人工知能基本問題研究会
- Place of Presentation
  根室市総合文化会館, 北海道
- Year and Date
  2014-07-24
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] The Chow-Lui algorithm based on the MDL when discreete and continuous variables are present2014
- Author(s)
  Joe Suzuki
- Organizer
  4th Workshop on Algorithmic issues for Inference in Graphical Models
- Place of Presentation
  Paris, France
- Year and Date
  2014-09-22
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] THE MDL PRINCIPLE FOR ARBITRARY DATA: EITHER DISCRETE OR CONTINUOUS OR NONE OF THEM2013
- Author(s)
  Joe Suzuki
- Organizer
  The Sixth Workshop on Information Theoretic Methods in Science and Engineering 2013
- Place of Presentation
  東京大学(本郷)
- Invited
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Universal Bayesian Measures2013
- Author(s)
  Joe Suzuki
- Organizer
  IEEE International Symposium on Information Theory
- Place of Presentation
  Istanbul, Turky
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] ループをもつ場合のネットワーク符号化2013
- Author(s)
  鈴木譲
- Organizer
  情報理論とその応用シンポジウム
- Place of Presentation
  静岡県伊東市
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] ベイズChow-Liu アルゴリズム2013
- Author(s)
  鈴木譲
- Organizer
  人工知能学会人工知能基本問題研究会
- Place of Presentation
  北海道稚内市
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Bayes Independence Test - HSIC と性能を比較する-2013
- Author(s)
  鈴木譲
- Organizer
  人工知能学会人工知能基本問題研究会
- Place of Presentation
  沖縄県宮古島市
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 離散と連続の属性値が混在した場合のベイジアンネットワークの構造学習2012
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  統計数理研究所
- Year and Date
  2012-03-12
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Bayesianネットワークの構造学習で離散と連続の変数が入り混じった場合　-実装について-2012
- Author(s)
  鈴木譲
- Organizer
  人工知能学会基本問題研究会
- Place of Presentation
  北見工業大学
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Cover先生の研究室で思い出に残っているテーマ　～定常エルゴードな系列に対してのユニバーサルな予測2012
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報理論研究会
- Place of Presentation
  別府湾ロイアルホテル
- Invited
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Bayesian Network Structure Estimation Based on the Bayesian/MDL Criteria when Both Discrete and Continuous Variables are Present2012
- Author(s)
  Joe Suzuki
- Organizer
  Proc of Data Compression Conference
- Place of Presentation
  Snowbird, UT
- Year and Date
  2012-04-11
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Universal Prediction without assuming either Discrete or Continuous2012
- Author(s)
  Joe Suzuki
- Organizer
  Fourth Workshop on Game-Theoretic Probability and Related Topics
- Place of Presentation
  東京大学(本郷)
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 離散と連続の属性値が混在した場合のベイジアンネツトワークの構造学習2012
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  統計数理研究所(東京都)
- Year and Date
  2012-03-12
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 一般的なMDL基準のBayesianネットワークの構造推定への応用:離散と連続な確率変数が混在する場合2011
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報理論研究会
- Place of Presentation
  大阪大学
- Year and Date
  2011-03-04
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ベイジアンネットワークの構造推定で、離散と連続の属性が混在する場合2011
- Author(s)
  鈴木譲(招待講演)
- Organizer
  人工知能学会基本問題研究会
- Place of Presentation
  電気通信大学
- Year and Date
  2011-11-26
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散データの因果の同定～2値から、多値への一般化について2011
- Author(s)
  鈴木譲,清水昌平,鷲尾隆
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  奈良女子大学
- Year and Date
  2011-11-10
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] The Universal Measure for General Sources and its Application toMDL/Bayesian Criteria2011
- Author(s)
  Joe Suzuki
- Organizer
  Poc of DataCompression Conference
- Year and Date
  2011-03-29
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] MDL/Bayesian Criteria based on Universal Coding/Measure2011
- Author(s)
  Joe Suzuki
- Organizer
  Solomonoff 85th Memorial Conference, Lecture Note on Artificial Intelligence
- Place of Presentation
  Springer
- Year and Date
  2011-11-28
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation]2011
- Author(s)
  T. Inazumi, T. Washio, S. Shimizu, J.Suzuki, A. Yamamoto and Y. Kawahara
- Organizer
  Proc.UAI2011:The 27th Conf. on Uncertainty inArtificial Intelligence
- Year and Date
  2011-07-21
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散データの因果の同定~2値から、多値への一般化について2011
- Author(s)
  鈴木譲, 清水昌平, 鷲尾隆
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  奈良女子大学
- Year and Date
  2011-11-10
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ベイジアンネットワークの構造推定で、離散と連続の属性が混在する場合2011
- Author(s)
  鈴木譲
- Organizer
  人工知能学会基本問題研究会
- Place of Presentation
  電気通信大学(東京都)(招待講演)
- Year and Date
  2011-11-26
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] The Bayesian Chow-Liu Algorithm 最も一般的な場合2011
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  東京大学
- Year and Date
  2011-06-20
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] The Bayesian Chow-LiuAlgorithm-最も一般的な場合-2011
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  東京大学
- Year and Date
  2011-06-20
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Catoni流の帰納的PAC-Bayesian学習に関する一考察2010
- Author(s)
  綾野孝則, 鈴木譲
- Organizer
  人工知能学会第12回 DMSM研究会
- Place of Presentation
  統計数理研究所(立川市)
- Year and Date
  2010-03-31
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] magin assumptionの下での分類器の誤り率の評価について2010
- Author(s)
  綾野孝則、鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論と機械学習研究会
- Place of Presentation
  福岡大学
- Year and Date
  2010-09-06
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] A Generalization of Nonparametric Estimation and On-Line Prediction for Stationary Ergodic Sources2010
- Author(s)
  Joe Suzuki
- Organizer
  AEW6
- Place of Presentation
  石垣島(沖縄県)
- Year and Date
  2010-10-23
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] A Generalization of the Chow-Liu Algorithm and its Applications to Artificial Intelligence2010
- Author(s)
  Joe Suzuki
- Organizer
  ICAI 2010
- Place of Presentation
  Las Vegas, Nevada, USA
- Year and Date
  2010-07-14
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 回帰関数の同定と機械学習への応用2010
- Author(s)
  綾野孝則、鈴木譲
- Organizer
  人工知能学会第79回基本問題研究会
- Place of Presentation
  キャンパスイノベーションセンター(東京都)
- Year and Date
  2010-11-17
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 一致性を満足する相互情報量の推定と機械学習への応用2010
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第78回基本問題研究会
- Place of Presentation
  兵庫県立大学
- Year and Date
  2010-07-31
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Information Criteriaand their Strong Consistency for LearningBayesian Networks2010
- Author(s)
  Joe Suzuki
- Organizer
  AMBN 2010
- Place of Presentation
  キャンパスイノベーションセンター
- Year and Date
  2010-11-19
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散や連続を仮定しない情報源のノンパラメトリック推定とオンライン予測の評価2010
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第12回 DMSM研究会
- Place of Presentation
  統計数理研究所(立川市)
- Year and Date
  2010-03-30
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散や連続を仮定しないユニバーサル符号化と一般的なShannon-MacMillan-Breiman定理2010
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報理論研究会
- Place of Presentation
  徳島大学
- Year and Date
  2010-05-21
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] A Generalization of Nonparametric Estimation and On-Line Prediction for Stationary Ergodic Sources2010
- Author(s)
  Joe Suzuki
- Organizer
  Asia-Europe Information Theory Workshop
- Place of Presentation
  Ishigaki Island
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散や連続を仮定しないMDL基準の一般化2010
- Author(s)
  鈴木譲
- Organizer
  SITA2010
- Place of Presentation
  松代ロイアルホテル(長野県)
- Year and Date
  2010-12-02
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散や連続を仮定しない情報源のノンパラメトリック推定とオンライン予測の評価2010
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第12回DMSM研究会
- Place of Presentation
  統計数理研究所
- Year and Date
  2010-03-30
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Chow-Liu Algorithm forGeneralized Random Values2010
- Author(s)
  Joe Suzuki
- Organizer
  Proc of Learning Conference
- Place of Presentation
  Snowbird, UT
- Year and Date
  2010-04-15
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Information Criteria and their Strong Consistency for Learning Bayesian Networks2010
- Author(s)
  Joe Suzuki
- Organizer
  AMBN 2010
- Place of Presentation
  キャンパスイノベーションセンター(東京都)
- Year and Date
  2010-11-19
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] A Generalization of the Chow-Liu Algorithm and its Applications to Artificial Intelligence2010
- Author(s)
  Joe Suzuki
- Organizer
  International Conference on Artificial Intelligence 2010
- Place of Presentation
  Las Vegas, NV
- Year and Date
  2010-07-23
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Chow-Liu Algorithm for Generalized Random Values2010
- Author(s)
  Joe Suzuki
- Organizer
  Learning Conference 2010
- Place of Presentation
  Snowbird, Utah, USA
- Year and Date
  2010-04-09
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 離散や連続を仮定しないMDL基準の一般化2010
- Author(s)
  鈴木譲
- Organizer
  SITA 2010
- Place of Presentation
  松代ロイアルホテル(長野県)
- Year and Date
  2010-12-02
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] データマイニングのためのChow-Liuアルゴリズムの一般化について2009
- Author(s)
  石田悠, 鈴木譲
- Organizer
  人工知能学会第86回 KBS研究会
- Place of Presentation
  和歌山大学南紀白浜サテライト
- Year and Date
  2009-08-26
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 大偏差原理を用いた遺伝的アルゴリズムのMarkov連鎖的解析2009
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第2回ECF研究会
- Place of Presentation
  東京大学
- Year and Date
  2009-10-02
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Hannan-Quinnの命題は、線形回帰でも、ガウス型Baysianネットワークの構造推定でも正しい2009
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会IBIS
- Place of Presentation
  九州大学
- Year and Date
  2009-10-20
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Chow-Liuアルゴリズムの一般化と、木の複雑さを考慮した修正版について2009
- Author(s)
  石田悠, 鈴木譲
- Organizer
  電子情報通信学会 IBIS 2009
- Place of Presentation
  九州大学
- Year and Date
  2009-10-20
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ベイジアンネットワークの構造学習の理論的性質2009
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第75回 FPAI研究会
- Place of Presentation
  電気通信大学(招待講演)
- Year and Date
  2009-11-13
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] A Conjecture on Strongly Consistent Learning2009
- Author(s)
  Joe Suzuki
- Organizer
  LLLL 2009
- Place of Presentation
  京大会館
- Year and Date
  2009-07-08
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Hannan-Quinnの命題は、線形回帰でも、ガウス型Baysianネットワークの構造推定でも正しい2009
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会 IBIS 2009
- Place of Presentation
  九州大学
- Year and Date
  2009-10-20
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] A Conjecture on Strong Consistent Learning2009
- Author(s)
  Joe Suzuki
- Organizer
  LLLL 2009
- Place of Presentation
  Kyoto,Japan
- Year and Date
  2009-07-18
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 一般的な確率変数に対するChow-Liuアルゴリズム2009
- Author(s)
  鈴木譲
- Organizer
  情報理論とその応用学会(SITA2009)
- Place of Presentation
  山口
- Year and Date
  2009-12-06
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 一般的な確率変数に対するChow-Liuアルゴリズム2009
- Author(s)
  鈴木譲
- Organizer
  情報理論とその応用学会 SITA 2010
- Place of Presentation
  ホテルかめ福(山口市)
- Year and Date
  2009-12-06
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] 大偏差原理を用いた遺伝的アルゴリズムのMarkov連鎖的解析2009
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第2回 ECF研究会
- Place of Presentation
  東京大学
- Year and Date
  2009-10-02
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ベイジアンネットワークの構造学習の理論的性質2009
- Author(s)
  鈴木譲(招待講演)
- Organizer
  人工知能学会第75回FPAI研究会
- Place of Presentation
  電気通信大学
- Year and Date
  2009-11-13
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ガウス型ベイジアンネットワークの構造学習の一致性について2009
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第86回 KBS研究会
- Place of Presentation
  和歌山大学南紀白浜サテライト
- Year and Date
  2009-08-26
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ガウス型ベイジアンネットワークの構造学習の一致性について2009
- Author(s)
  鈴木譲
- Organizer
  人工知能学会第86回KBS研究会
- Place of Presentation
  和歌山大学南紀白浜サテライト
- Year and Date
  2009-08-26
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] Bayesianネットワークのt-分離性に関する一考察2009
- Author(s)
  萬山星一, 鈴木譲
- Organizer
  人工知能学会第75回 FPAI研究会
- Place of Presentation
  電気通信大学
- Year and Date
  2009-11-13
- Data Source
  KAKENHI-PROJECT-21500138
[Presentation] ユニバーサルなベイズ測度について
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  早稲田大学
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Learning Bayesian network structures when discrete and continous variables are present
- Author(s)
  Joe Suzuki
- Organizer
  European Workshop on Probablistic Graphical Models
- Place of Presentation
  Utrecht, Netherlands
- Year and Date
  2014-09-17 – 2014-09-19
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Learning Bayesian Network Structures with Discrete and Continuous Variables
- Author(s)
  Joe Suzuki
- Organizer
  京都国際統計会議
- Place of Presentation
  国立京都国際会館, 京都府
- Year and Date
  2014-11-17 – 2014-11-18
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] The Universal Bayesian Chow-Liu Algorithm
- Author(s)
  Joe Suzuki
- Organizer
  Workshop on Data Discretization and Segmentation for Knowledge Discovery
- Place of Presentation
  慶応義塾大学(日吉)
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 離散や連続を仮定しないBICの一般化
- Author(s)
  鈴木譲
- Organizer
  日本数学会春季大会
- Place of Presentation
  明治大学, 東京都
- Year and Date
  2015-03-21 – 2015-03-24
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 確率的グラフィカルモデルにおける構造学習
- Author(s)
  鈴木譲
- Organizer
  数学協働プログラム「確率的グラフィカルモデル」
- Place of Presentation
  電気通信大学, 東京都
- Year and Date
  2015-03-19 – 2015-03-20
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Universal Coding and Universal Histogram Sequences
- Author(s)
  Joe Suzuki
- Organizer
  情報理論とその応用シンポジウム
- Place of Presentation
  宇奈月温泉, 富山県
- Year and Date
  2014-12-09 – 2014-12-12
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] Klein’s fundamental second kind 2-form for the Cab curves
- Author(s)
  鈴木譲
- Organizer
  日本数学会秋季大会
- Place of Presentation
  広島大学, 広島県
- Year and Date
  2014-09-25 – 2014-09-28
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] MDL/Bayesを用いたベイジアンネットワークの構造推定～連続データを含む場合の一致性について～
- Author(s)
  鈴木譲
- Organizer
  電子情報通信学会情報論的学習理論研究会
- Place of Presentation
  沖縄科学技術大学院大学, 沖縄県
- Year and Date
  2014-06-25 – 2014-06-27
- Data Source
  KAKENHI-PROJECT-24500172
[Presentation] 離散や連続を仮定しない確率的グラフィカルモデルの構造推定
- Author(s)
  鈴木譲
- Organizer
  」人工知能学会人工知能基本問題研究会
- Place of Presentation
  名古屋工業大学, 愛知県
- Year and Date
  2015-01-13 – 2015-01-14
- Data Source
  KAKENHI-PROJECT-24500172

1. OGAWA Hiroyuki (70243160)

# of Collaborated Projects: 5 results

# of Collaborated Products: 0 results
2. MURAKAMI Jun (90157751)

# of Collaborated Projects: 3 results

# of Collaborated Products: 0 results
3. YAMAMOTO Yoshihiko (90028184)

# of Collaborated Projects: 3 results

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4. FUJIWARA Akio (30251359)

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5. KIYOKAZU Nagatomo (90172543)

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6. MATSUMURA Akitaka (60115938)

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7. SATAKE Ikuo (80243161)

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8. TAKAHASHI Satoshi (70226835)

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9. 眞鍋昭治郎 (20028260)

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10. Washio Takashi (00192815)

# of Collaborated Projects: 1 results

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11. Kano Yutaka (20201436)

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12. TOMINAGA Hideyoshi (20063688)

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13. KAMEYAMA Wataru (20214562)

# of Collaborated Projects: 1 results

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14. KOMATSU Naohisa (30195846)

# of Collaborated Projects: 1 results

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15. HIRASAWA Shigeichi (30147946)

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16. KASAHARA Masao (30029045)

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17. HIRAMINE Yutaka (30116173)

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18. KIKUCHI Kazunori (40252572)

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19. KAMO Hiroyasu (20243355)

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20. IBUKIYAMA Tomoyoshi (60011722)

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21. HARASAWA Ryuichi (10363467)

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22. FUJIWARA Tohru (70190098)

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23. SUGIMOTO Mitsuru (60196756)

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24. KONNO Kazuhiro (10186869)

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25. MABUCHI Toshiki (80116102)

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26. WATANABE Takao (30201198)

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27. 日比孝之 (80181113)

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28. 和久井道久 (60252574)

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29. 杉田洋 (50192125)

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30. 小谷眞一 (10025463)

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31. 高信敏 (40197124)

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32. 川中子正 (20214661)

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33. 横川光司 (40240189)

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34. 田辺広城 (70028083)

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35. 宮西正宜 (80025311)

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36. 山崎洋平 (00093477)

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37. 李裕子

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SUZUKI Jyo 鈴木 譲

Suzuki Joe 鈴木 譲

SUZUKI Joe 鈴木 譲

鈴木 嬢 スズキ ジョウ

鈴木 讓 スズキ ジョウ

鈴木 譲 スズキ ジョウ

Research Projects

Research Products

Co-Researchers

Generalization of LiNGAM for confoundingPrincipal Investigator

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Estimation of Mutual Information for Continuous Variables and its Applications to Graphical Model ConstructionPrincipal Investigator

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Bayesian network structure learning when discrete and continuous variables are present.Principal Investigator

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Consistency of Bayesian Network Structure LearningPrincipal Investigator

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モンテカルロ法における安全な疑似乱数生成器の研究

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Statistical Estimation Theory for Quantum Channels

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Discrete Logarithm Problem Nd Information SecurityPrincipal Investigator

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Hausdorff次元を用いたユニバーサルデータ圧縮の評価Principal Investigator

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Multivariable multifractal analysis

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数式処理による代数曲線のヤコビ多様体の整数論

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Learning Baysian Networks based on the MDL principlePrincipal Investigator

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単項式イデアルの極小自由分解の研究

Principal Investigator

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SUZUKI Jyo 鈴木譲

Suzuki Joe 鈴木譲

SUZUKI Joe 鈴木譲

鈴木嬢スズキジョウ

鈴木讓スズキジョウ

鈴木譲スズキジョウ