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Fundamental research on finite length analysis in information theory and optimization theory for practical, reliable, and highly efficient communications

Research Project

Project/Area Number 17K06446
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Communication/Network engineering
Research InstitutionWaseda University

Principal Investigator

Matsushima Toshiyasu  早稲田大学, 理工学術院, 教授 (30219430)

Project Period (FY) 2017-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords情報理論 / 符号理論 / 有限長解析 / 最適化理論 / 推定理論 / 情報セキュリティ / 統計科学 / データサイエンス / 最適化問題 / 情報源符号化 / ベイズ符号 / 符号化レートの有限長解析 / 符号構成 / 重み分布 / スムースレニーエントロピー
Outline of Final Research Achievements

In this research, we derived theoretical limits of performance of communication systems under practical conditions, such as when the codeword length is finite, and constructed a set of coding and decoding algorithm that achieve these theoretical limits. Theoretical limits such as code rate and error probability are precisely analyzed for practical communication channels, and in parallel, the entire coding and decoding system is formulated as a broad optimization problem to derive an optimal set of coding and decoding algorithm under more practical constraints. The results of theoretical limits in the practical condition were used as a heuristic function for optimization in the configuration of the coding and decoding system, and synergistic research such as validating global optimality and reduction of computational complexity in the coding and decoding algorithms was able to be promoted.

Academic Significance and Societal Importance of the Research Achievements

情報理論・符号理論は,情報を扱う科学及び工学の基礎理論として現代の情報化社会の発展に寄与してきた.情報理論・符号理論では,雑音のある通信路を通して情報を効率よくかつ誤りなしで送る符号化・復号法の問題を数理的に扱う研究が行われている.我々は,この問題に対するアプローチをさらに推し進め,符号長が有限の場合など実用に則した条件下の通信システムの性能の理論限界を導出し,その理論限界を達成する符号化・復号法の組を構成した.このように,本研究の成果は実用上で信頼性が高く高効率な通信や情報処理システムの設計や構築に寄与することが見込まれる.

Report

(7 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (122 results)

All 2023 2022 2021 2020 2019 2018 2017

All Journal Article (21 results) (of which Peer Reviewed: 21 results,  Open Access: 7 results) Presentation (99 results) (of which Int'l Joint Research: 32 results,  Invited: 2 results) Book (2 results)

  • [Journal Article] Asymptotic Evaluation of Classification in the Presence of Label Noise2023

    • Author(s)
      YASUDA Goki、SUKO Tota、KOBAYASHI Manabu、MATSUSHIMA Toshiyasu
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E106.A Issue: 3 Pages: 422-430

    • DOI

      10.1587/transfun.2022TAP0013

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2023-03-01
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression2023

    • Author(s)
      Saito Shota and Matsushima Toshiyasu
    • Journal Title

      IEEE Transactions on Information Theory

      Volume: 69 Issue: 4 Pages: 2113-2119

    • DOI

      10.1109/tit.2022.3229358

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] The Ratio of the Desired Parameters of Deep Neural Networks2022

    • Author(s)
      Y. Esaki, Y. Nakahara and T. Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E105.A Issue: 3 Pages: 433-435

    • DOI

      10.1587/transfun.2021TAL0003

    • NAID

      130008165402

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2022-03-01
    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability2022

    • Author(s)
      S. Saito and T. Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E105.A Issue: 3 Pages: 425-427

    • DOI

      10.1587/transfun.2021TAL0002

    • NAID

      130008165398

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2022-03-01
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion2022

    • Author(s)
      Nakahara Yuta and Matsushima Toshiyasu
    • Journal Title

      Entropy

      Volume: 24 Issue: 8 Pages: 1152-1152

    • DOI

      10.3390/e24081152

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Probability Distribution on Full Rooted Trees2022

    • Author(s)
      Y. Nakahara, S. Saito, A. Kamatsuka and T. Matsushima
    • Journal Title

      Y. Nakahara, S. Saito, A. Kamatsuka and T. Matsushima

      Volume: 24 Issue: 6 Pages: 328-346

    • DOI

      10.3390/e23060768

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Coded Computation Method Based on a Gabidulin Code and the Evaluation of its Error-Correcting Capability2021

    • Author(s)
      風間皐希,鎌塚明,吉田 隆弘,松嶋敏泰
    • Journal Title

      電子電子情報通信学会論文誌A 基礎・境界

      Volume: J104-A Issue: 6 Pages: 156-159

    • DOI

      10.14923/transfunj.2020JAL2023

    • ISSN
      1881-0195
    • Year and Date
      2021-06-01
    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Cluster's Number Free Bayes Prediction of General Framework on Mixture of Regression Models2021

    • Author(s)
      H. Murayama, S. Saito, Y. Iikubo, Y. Nakahara and T. Matsushima
    • Journal Title

      Journal of Statistical Theory and Applications

      Volume: 20 Issue: 3 Pages: 425-449

    • DOI

      10.1007/s44199-021-00001-5

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It2021

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Journal Title

      Entropy

      Volume: 23 Issue: 8 Pages: 7-7

    • DOI

      10.3390/e23080991

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Analysis of Decoding Error Probability of Spatially “Mt. Fuji” Coupled LDPC Codes in Waterfall Region of the BEC2020

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E103.A Issue: 12 Pages: 1337-1346

    • DOI

      10.1587/transfun.2020TAP0010

    • NAID

      130007948304

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2020-12-01
    • Related Report
      2020 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Bayesian Decision-Theoretic Change-Point Detection for i.p.i.d. Sources2020

    • Author(s)
      K. Suzuki, A. Kamatsuka and T. Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E103.A Issue: 12 Pages: 1393-1402

    • DOI

      10.1587/transfun.2020TAP0009

    • NAID

      130007948300

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2020-12-01
    • Related Report
      2020 Research-status Report
    • Peer Reviewed
  • [Journal Article] 拡張直交配列を用いた混合水準の実験計画法に関する一考察2020

    • Author(s)
      山口純輝, 風間皐希, 鎌塚明, 齋藤翔太, 松嶋敏泰
    • Journal Title

      電子情報通信学会論文誌(A)

      Volume: J103-A Pages: 17-24

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] Variable-Length Intrinsic Randomness on Two Performance Criteria Based on Variational Distance2019

    • Author(s)
      Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E102.A Issue: 12 Pages: 1642-1650

    • DOI

      10.1587/transfun.E102.A.1642

    • NAID

      130007754021

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2019-12-01
    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Note on Weight Distributions of Spatially “Mt. Fuji” Coupled LDPC Codes2018

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E101.A Issue: 12 Pages: 2194-2198

    • DOI

      10.1587/transfun.E101.A.2194

    • NAID

      130007539079

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2018-12-01
    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Journal Article] Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime2017

    • Author(s)
      Shota Saito, Toshiyasu Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E100.A Issue: 12 Pages: 2728-2731

    • DOI

      10.1587/transfun.E100.A.2728

    • NAID

      130006236512

    • ISSN
      0916-8508, 1745-1337
    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] Spatially “Mt. Fuji” Coupled LDPC Codes2017

    • Author(s)
      Yuta Nakahara, Shota Saito, Toshiyasu Matsushima
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E100.A Issue: 12 Pages: 2594-2606

    • DOI

      10.1587/transfun.E100.A.2594

    • NAID

      130006236484

    • ISSN
      0916-8508, 1745-1337
    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] マルコフ決定過程を用いたヘルスケア支援に関する一考察2017

    • Author(s)
      前田康成,山内翔,鈴木正清,高野賢裕,松嶋敏泰
    • Journal Title

      バイオメディカル・ファジィ・システム学会誌

      Volume: vol.19,no.2 Pages: 21-27

    • NAID

      130007998405

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] 推薦システムにおける新規顧客問題に関する一考察2017

    • Author(s)
      前田康成,山内翔,鈴木正清,松嶋敏泰
    • Journal Title

      バイオメディカル・ファジィ・システム学会誌

      Volume: vol.19,no.2 Pages: 13-19

    • NAID

      130007998403

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Note on Recommender System with Transitions of User Classes2017

    • Author(s)
      前田康成,鈴木正清,松嶋敏泰
    • Journal Title

      IEEJ Transactions on Electronics, Information and Systems

      Volume: 137 Issue: 6 Pages: 815-816

    • DOI

      10.1541/ieejeiss.137.815

    • NAID

      130005687961

    • ISSN
      0385-4221, 1348-8155
    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] 復元および再生成の条件を一般化した再生成符号とその構成法2017

    • Author(s)
      鎌塚 明,東 優太,吉田 隆弘,松嶋 敏泰
    • Journal Title

      電子情報学会論文誌 A

      Volume: vol.J100-A, no.11 Pages: 411-420

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Note on Asset Management with Sensor Network2017

    • Author(s)
      前田康成,鈴木正清,松嶋敏泰
    • Journal Title

      IEEJ Transactions on Electronics, Information and Systems

      Volume: 137 Issue: 6 Pages: 817-818

    • DOI

      10.1541/ieejeiss.137.817

    • NAID

      130005687962

    • ISSN
      0385-4221, 1348-8155
    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Presentation] Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model2022

    • Author(s)
      Taisuke Ishiwatari, Shota Saito, Yuta Nakahara, Yuji Iikubo and Toshiyasu Matsushima
    • Organizer
      2022 International Symposium on Information Theory and Its Applications
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Probability Distribution on Rooted Trees2022

    • Author(s)
      Yuta Nakahara, Shota Saito, Akira Kamatsuka and Toshiyasu Matsushima
    • Organizer
      2022 IEEE International Symposium on Information Theory
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 潜在的分岐変数を持つ木構造からなる生成モデルと変分ベイズ法による近似推論2022

    • Author(s)
      一條尚希, 中原悠太, 齋藤翔太, 松嶋敏泰
    • 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
    • Related Report
      2022 Annual Research Report
  • [Presentation] ベイズ決定理論に基づく機械学習ライブラリ:BayesML 0.1.02022

    • Author(s)
      中原悠太, 一條尚希, 島田航志, 飯窪祐二, 齋藤翔太, 風間皐希, 松嶋敏泰, BayesML Code Authors
    • Organizer
      2022年度統計関連学会連合大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] ベイズ決定理論に基づく機械学習ライブラリ:BayesML 0.2.02022

    • Author(s)
      中原悠太, 齋藤翔太, 島田航志, 飯窪祐二, 風間皐希, 一條尚希, 松嶋敏泰, BayesML Developers
    • Organizer
      第25回情報論的学習理論ワークショップ
    • Related Report
      2022 Annual Research Report
  • [Presentation] 決定木モデルにおけるメタツリーに対するマルコフ連鎖モンテカルロ法2022

    • Author(s)
      中原悠太, 齋藤翔太, 一條尚希, 風間皐希, 松嶋敏泰
    • Organizer
      第45回情報理論とその応用シンポジウム
    • Related Report
      2022 Annual Research Report
  • [Presentation] Two-dimensional Autoregressive Model with Time-varying Parameters and the Bayes Codes2022

    • Author(s)
      Yuta Nakahara and Toshiyasu Matsushima
    • Organizer
      2022 International Symposium on Information Theory and Its Applications
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Stochastic Image Generative Model with Unknown Wavelet Packet Basis and its Application to Image Recognition2022

    • Author(s)
      Ryohei Oka, Yuta Nakahara and Toshiyasu Matsushima
    • Organizer
      第37回信号処理シンポジウム
    • Related Report
      2022 Annual Research Report
  • [Presentation] 開始終了間隔の回帰モデル化に基づく開始時点が異なる複数対象の単位期間内終了件数の予測2022

    • Author(s)
      香山渉, 中原悠太, 風間皐希, 島田航志, 小坂奏平, 藤田剛, 松嶋敏泰
    • Organizer
      2022年度統計関連学会連合大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 時点毎に異なるパラメータを有する平面的自己回帰モデルとベイズ符号に関する一考察2022

    • Author(s)
      中原悠太, 松嶋敏泰
    • Organizer
      電子情報通信学会 情報理論研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] データサイエンス入門+α ― 意思決定写像を用いたデータ科学体系化への試み ―2022

    • Author(s)
      松嶋敏泰, 小林学, 野村亮, 安田豪毅, 中原悠太
    • Organizer
      第45回情報理論とその応用シンポジウム
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] A Generalization of the Stratonovich’s Value of Information and Application to Privacy-Utility Trade-off2022

    • Author(s)
      Akira Kamatsuka, Takahiro Yoshida and Toshiyasu Matsushima
    • Organizer
      2022 IEEE International Symposium on Information Theory
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Algorithm for Computing the Stratonovich's Value of Information2022

    • Author(s)
      Akira Kamatsuka, Takahiro Yoshida, Koki Kazama and Toshiyasu Matsushima
    • Organizer
      2022 International Symposium on Information Theory and Its Applications
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 区間ごとに回帰係数の異なる回帰モデルにおけるベイズ決定理論による効率的最適アルゴリズムの研究2022

    • Author(s)
      行谷昇, 島田航志, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] マルチレベルデータに対する線形回帰多段係数モデルとベイズ決定理論による最適予測に関する研究2022

    • Author(s)
      堀之内康平, 一條尚希, 石渡泰祐, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 決定木モデル上のベイズ近似最適予測のためのメタツリー集合並列構成アルゴリズムに関する研究2022

    • Author(s)
      田島慶斗, 一條尚希, 島田航志, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 決定木モデルを仮定した分類におけるメタツリー集合のブースティング的構成によるベイズ近似最適アルゴリズムの研究2022

    • Author(s)
      馬庭良太, 一條尚希, 島田航志, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 決定木モデル上の分類におけるメタツリー集合のブースティング的構築についての一考察2022

    • Author(s)
      馬庭良太, 一條尚希, 島田航志, 松嶋敏泰
    • Organizer
      第45回情報理論とその応用シンポジウム
    • Related Report
      2022 Annual Research Report
  • [Presentation] 決定木モデル上のベイズ最適な予測を近似するためのメタツリー集合並列構成アルゴリズムに関する一考察2022

    • Author(s)
      田島慶斗, 一條尚希, 島田航志, 松嶋敏泰
    • Organizer
      第45回情報理論とその応用シンポジウム
    • Related Report
      2022 Annual Research Report
  • [Presentation] データサイエンスで拓く社会変革への道程 ―科学的方法としてのデータサイエンス―2022

    • Author(s)
      松嶋敏泰
    • Organizer
      第13回横幹連合コンファレンス
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion2022

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Organizer
      2022 Data Compression Conference (DCC)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] 決定木モデルに対するベイズ最適な予測のメタツリーブースティング法による近似2022

    • Author(s)
      于文斌, 風間皐希, 中原悠太, 一條尚希, 齋藤翔太, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval2021

    • Author(s)
      K. Shimada, S. Saito and T. Matsushima
    • Organizer
      2021 IEEE Information Theory Workshop (ITW)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Privacy-Utility Trade-off with the Stratonovich’s Value of Information2021

    • Author(s)
      A. Kamatsuka, T. Yoshida and T. Matsushima
    • Organizer
      2021 IEEE Information Theory Workshop (ITW)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding2021

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Organizer
      2021 IEEE Information Theory Workshop (ITW)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example2021

    • Author(s)
      S. Saito and T. Matsushima
    • Organizer
      2021 IEEE International Symposium on Information Theory (ISIT)
    • Related Report
      2021 Research-status Report
  • [Presentation] 潜在的分岐変数を持つ木構造からなる生成モデルと変分ベイズ法による近似推論2021

    • Author(s)
      一條尚希, 中原悠太, 齋藤翔太, 松嶋敏泰
    • Organizer
      電子情報通信学会c情報論的学習理論と機械学習研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] Probability Distribution on Full Rooted Trees2021

    • Author(s)
      Y. Nakahara, S. Saito, A. Kamatsuka and T. Matsushima
    • Organizer
      第44回情報理論とその応用シンポジウム (SITA2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] URLモデルを仮定した下での母集団全体に対する施策の有無の差に関するベイズ最適な推定とその近似アルゴリズム2021

    • Author(s)
      石渡泰祐, 齋藤翔太, 中原悠太, 飯窪祐二, 松嶋敏泰
    • Organizer
      第44回情報理論とその応用シンポジウム (SITA2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] 二次元離散ウェーブレットパケット変換の基底が未知の場合のベイズ基準のもと最適なノイズ除去アルゴリズム2021

    • Author(s)
      岡 凌平, 中原 悠太, 松嶋 敏泰
    • Organizer
      第44回情報理論とその応用シンポジウム (SITA2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] 一般的なアクセス構造を実現する秘密分散方式を用いた行列の積計算のための秘匿符号化分散計算方式に関する一考察2021

    • Author(s)
      風間皐希, 松嶋敏泰
    • Organizer
      第44回情報理論とその応用シンポジウム(SITA2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] URLモデルを仮定した下での新しい個体への施策の有無による反応の差に関するベイズ最適な決定とその近似アルゴリズム2021

    • Author(s)
      山田一翔, 中原悠太, 齋藤翔太, 飯窪祐二, 松嶋敏泰
    • Organizer
      第44回情報理論とその応用シンポジウム(SITA2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] マルコフ連鎖モンテカルロメタツリー法2021

    • Author(s)
      中原悠太, 齋藤翔太, 風間皐希, 于文斌, 一條尚希, 松嶋敏泰
    • Organizer
      第24回情報論的学習理論ワークショップ (IBIS2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] クラスタ構造を説明する変数と回帰構造を説明する変数により表現された線形回帰モデルにおける計算量削減に関する一考察 ~ ベイズ最適な予測とその近似アルゴリズム ~2021

    • Author(s)
      香山渉, 齋藤翔太, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] 潜在クラスタを仮定することで個人差を考慮した施策の有無による反応変数の差に関するベイズ最適な予測とその近似アルゴリズム2021

    • Author(s)
      石渡泰祐, 齋藤翔太, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] 高効率なプライバシー保護情報検索システムの構成アルゴリズムの提案2021

    • Author(s)
      今津潮, 風間皐希, 松嶋敏泰
    • Organizer
      日本経営工学会2021年春季大会
    • Related Report
      2021 Research-status Report
  • [Presentation] サンプリングの偏りを考慮したデータ生成確率モデルの提案2021

    • Author(s)
      山田一翔, 鎌塚明, 中原悠太, 松嶋敏泰
    • Organizer
      日本経営工学会2021年春季大会
    • Related Report
      2021 Research-status Report
  • [Presentation] A Note on Computer Programming in Complex Space for Simultaneous Experiments2021

    • Author(s)
      Y. Ukita and T. Matsushima
    • Organizer
      RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 2021
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] クラスタごとに状態遷移確率が異なる複数の対象を同時制御するためのマルコフ決定過程2021

    • Author(s)
      本村勇人,鎌塚明,風間皐希,松嶋敏泰
    • Organizer
      情報論的学習理論と機械学習研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] Non-asymptotic converse theorem on the overflow probability of variable-to-fixed length codes2021

    • Author(s)
      齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 区間ごとに文脈木モデルが変化する情報源における効率的ベイズ符号化アルゴリズム2021

    • Author(s)
      島田航志,齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 複数の隠れマルコフモデルの重み付けによるベイズ基準のもとでの最適な音素の予測2021

    • Author(s)
      山岡大志,齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 周辺画素によって異なる自己回帰係数を有する画像生成確率モデルとそのベイズ符号2021

    • Author(s)
      高野将大,中原悠太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] Bayesian approach for uplift linear regression2020

    • Author(s)
      Y. Iikubo and T. Matsushima
    • Organizer
      13th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Theoretical Analysis of the Advantage of Deepening Neural Networks2020

    • Author(s)
      Y. Esaki, Y. Nakahara and T. Matsushima
    • Organizer
      19th IEEE International Conference on Machine Learning and Applications (ICMLA)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] A Note on a Relationship between Smooth Locally Decodable Codes and Private Information Retrieval2020

    • Author(s)
      K. Kazama, A. Kamatsuka, T. Yoshida and T. Matsushima
    • Organizer
      2020 International Symposium on Information Theory and its Application (ISITA)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] On Two Information Quantities Relating Two Distortion Balls2020

    • Author(s)
      S. Saito and T. Matsushima
    • Organizer
      2020 International Symposium on Information Theory and its Application (ISITA)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them2020

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Organizer
      2020 International Symposium on Information Theory and its Application (ISITA)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code2020

    • Author(s)
      S. Saito and T. Matsushima
    • Organizer
      2020 IEEE International Symposium on Information Theory (ISIT)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] ベイズ符号の解析に基づいた分類誤り確率の評価 ~拡張と具体例~2020

    • Author(s)
      齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] マルコフ決定過程問題における学習期間の行動のベイズ決定理論に基づく最適化2020

    • Author(s)
      一條尚希,中原悠太,本村勇人,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 消失を含むラベルノイズの下での分類に関する性能の限界について2020

    • Author(s)
      安田豪毅,須子統太,小林学,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 音素認識問題におけるベイズ規準の下最適な予測に対する近似手法2020

    • Author(s)
      山岡大志,齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] Probabilistic Data Generating Process on Tree Structure Model: Bayes Optimal Prediction and Sub-Optimal Algorithm2020

    • Author(s)
      土橋那央,齋藤翔太,中原悠太,松嶋敏泰
    • Organizer
      2020年度統計関連学会連合大会
    • Related Report
      2020 Research-status Report
  • [Presentation] ニューラルネットワークの深層化の利点の理論解析: 回帰関数の表現力と勾配法の学習効率を区別した評価基準2020

    • Author(s)
      江崎泰志,中原悠太,松嶋敏泰
    • Organizer
      2020年度統計関連学会連合大会
    • Related Report
      2020 Research-status Report
  • [Presentation] 複数の対象が複数のクラスタに属するマルコフ決定過程における同時制御手法の提案2020

    • Author(s)
      本村勇人,鎌塚明,松嶋敏泰
    • Organizer
      2020年度統計関連学会連合大会
    • Related Report
      2020 Research-status Report
  • [Presentation] 線形回帰モデルの混合の統一的なフレームワークにおけるベイズ最適な予測とその近似アルゴリズム2020

    • Author(s)
      村山春香,齋藤翔太,飯窪祐二,中原悠太,松嶋敏泰
    • Organizer
      2020年度統計関連学会連合大会
    • Related Report
      2020 Research-status Report
  • [Presentation] 変分ベイズ法によって導出された近似事後分布を用いた予測分布とベイズ予測分布のα-ダイバージェンスの漸近評価2020

    • Author(s)
      山田一翔,齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] i.p.i.d.情報源におけるベイズ規準の下で最適なRelevant な変化の検出2020

    • Author(s)
      鈴木海理,鎌塚明,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 自己回帰型の画像生成確率モデルとそれに対するベイズ符号2020

    • Author(s)
      中原悠太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 脳腫瘍セグメンテーションのための階層的な隠れマルコフモデルの構築2020

    • Author(s)
      本多拓哉,中原悠太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It2020

    • Author(s)
      Yuta Nakahara, Toshiyasu Matsushima
    • Organizer
      2020 Data Compression Conference (DCC)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Bayes Code for 2-dimensional Auto-regressive Hidden Markov Model and Its Application to Lossless Image Compression2020

    • Author(s)
      Yuta Nakahara, Toshiyasu Matsushima
    • Organizer
      2020 International Workshop on Advanced Image Technology (IWAIT)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Optimal Estimating of the Magnitude of the change for Sources with Piecewise Constant Parameters under Bayesian Criterion2019

    • Author(s)
      Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima
    • Organizer
      Bayes on the beach 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Reducing the Computational and Communication Complexity of a Distributed Optimization for Regularized Logistic Regression2019

    • Author(s)
      Nozomi Miya, Hideyuki Masui, Hajime Jinushi, Toshiyasu Matsushima
    • Organizer
      2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Model Selection of Bayesian Hierarchical Mixture of Experts Based on Variational Inference2019

    • Author(s)
      Yuji Iikubo, Shunsuke Horii, Toshiyasu Matsushima
    • Organizer
      2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Covariance Evolution for Spatially ``Mt. Fuji'' Coupled LDPC Codes2019

    • Author(s)
      Yuta Nakahara, Toshiyasu Matsushima
    • Organizer
      2019 IEEE Information Theory Workshop (ITW)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Distributed Stochastic Gradient Descent Using LDGM Codes2019

    • Author(s)
      Shunsuke Horii, Takahiro Yoshida, Manabu Kobayashi, Toshiyasu Matsushima
    • Organizer
      2019 IEEE International Symposium on Information Theory (ISIT)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion2019

    • Author(s)
      Shota Saito, Toshiyasu Matsushima
    • Organizer
      2019 IEEE International Symposium on Information Theory (ISIT)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 潜在変数に非正規分布を仮定した回帰モデルにおけるベイズ基準の下最適な予測に対する近似手法2019

    • Author(s)
      天野祐貴, 齋藤翔太, 松嶋敏泰
    • Organizer
      第42回情報理論とその応用シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] 関数類似度の提案と基準関数との類似度が高い深層ネットワークの存在比率の近似計算2019

    • Author(s)
      江崎泰志, 中原悠太, 松嶋敏泰
    • Organizer
      第42回情報理論とその応用シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code2019

    • Author(s)
      齋藤翔太, 松嶋敏泰
    • Organizer
      第42回情報理論とその応用シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] ベイズ規準の下で最適な平均処置効果の推定2019

    • Author(s)
      シーン誠, 鎌塚明, 松嶋敏泰
    • Organizer
      第42回情報理論とその応用シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] セキュアな再生成符号に基づく分散ストレージシステムにおける秘匿情報検索2019

    • Author(s)
      鎌塚明, 風間皐希, 吉田隆弘, 松嶋敏泰
    • Organizer
      第42回情報理論とその応用シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] 決定木モデルにおける集団学習法の考えを用いたベイズ最適な分類の近似アルゴリズム2019

    • Author(s)
      土橋那央, 齋藤翔太, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2019 Research-status Report
  • [Presentation] クラスター説明変数と回帰説明変数により表現された線形回帰モデルにおけるベイズ最適な予測の近似手法2019

    • Author(s)
      村山春香, 齋藤翔太, 中原悠太, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2019 Research-status Report
  • [Presentation] LDGM符号を用いた勾配符号化と確率的勾配降下法2019

    • Author(s)
      堀井俊佑, 吉田隆弘, 小林学, 松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2019 Research-status Report
  • [Presentation] Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability2018

    • Author(s)
      S. Saito and T. Matsushima
    • Organizer
      2018 IEEE International Symposium on Information Theory (ISIT)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities2018

    • Author(s)
      S. Saito H. Yagi, and T. Matsushima
    • Organizer
      2018 International Symposium on Information Theory and Its Applications (ISITA)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance2018

    • Author(s)
      J. Yoshizawa, S. Saito, T. Matsushima
    • Organizer
      2018 International Symposium on Information Theory and Its Applications (ISITA)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Expected Graph Evolution for Spatially ``Mt. Fuji'' Coupled LDPC Codes2018

    • Author(s)
      Y. Nakahara and T. Matsushima
    • Organizer
      2018 International Symposium on Information Theory and Its Applications (ISITA)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] A Note on a Bound on the Rate of a Locally Recoverable Code with Multiple Recovering Sets2018

    • Author(s)
      K. Kazama A. Kamatsuka, T. Yoshida, and T. Matsushima
    • Organizer
      2018 International Symposium on Information Theory and Its Applications (ISITA)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Sparse Bayesian Hierarchical Mixture of Experts and Variational Inference2018

    • Author(s)
      Y. Iikubo, S, Horii, and Toshiyasu Matsushima
    • Organizer
      2018 International Symposium on Information Theory and Its Applications (ISITA)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Bayesian Independent Component Analysis under Hierarchical Model on Independent Components2018

    • Author(s)
      K. Asaba, S. Saito, S, Horii, and Toshiyasu Matsushima
    • Organizer
      2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 富士山型空間結合符号に対するCovariance Evolution2018

    • Author(s)
      中原悠太,松嶋敏泰
    • Organizer
      第41回情報理論とその応用シンポジウム
    • Related Report
      2018 Research-status Report
  • [Presentation] $(n,k,d,r,t,x,y)_{q}$ LRC符号の最小距離および次元の限界式に関する一考察2018

    • Author(s)
      風間皐希,鎌塚明,松嶋敏泰
    • Organizer
      第41回情報理論とその応用シンポジウム
    • Related Report
      2018 Research-status Report
  • [Presentation] Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion2018

    • Author(s)
      齋藤翔太,松嶋敏泰
    • Organizer
      第41回情報理論とその応用シンポジウム
    • Related Report
      2018 Research-status Report
  • [Presentation] 拡張直交配列を利用した多水準の実験計画法に関する一考察2018

    • Author(s)
      山口純輝,風間皐希,鎌塚明,齋藤翔太,松嶋敏泰
    • Organizer
      第41回情報理論とその応用シンポジウム
    • Related Report
      2018 Research-status Report
  • [Presentation] メロディの生成数理モデルを仮定した自動作曲2018

    • Author(s)
      西川史織,中原悠太,松嶋敏泰
    • Organizer
      第41回情報理論とその応用シンポジウム
    • Related Report
      2018 Research-status Report
  • [Presentation] 攻撃者の目的と背景知識を明確にしたプライバシ保護を考慮した情報公開2018

    • Author(s)
      宮下有咲,鎌塚明,吉田隆弘,松嶋敏泰
    • Organizer
      第41回情報理論とその応用シンポジウム
    • Related Report
      2018 Research-status Report
  • [Presentation] 潜在変数に階層モデルを仮定したベイズ独立成分分析2018

    • Author(s)
      浅葉海,齋藤翔太,堀井俊佑,松嶋敏泰
    • 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
    • Related Report
      2017 Research-status Report
  • [Presentation] 真のパラメトリックモデルが未知のベイズ予測分布のmisspecifiedな場合の性能解析2018

    • Author(s)
      河野浩和,齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities2017

    • Author(s)
      Shota Saito, Hideki Yagi, Toshiyasu Matsushima
    • Organizer
      IEEE International Symposium on Information Theory
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 富士山型空間結合符号の重み分布に関する一考察2017

    • Author(s)
      中原悠太,松嶋敏泰
    • Organizer
      第40回情報理論とその応用シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] 正値の歪み超過確率を許容した可変長有歪み情報源符号化における符号語長のキュムラント母関数2017

    • Author(s)
      齋藤翔太,松嶋敏泰
    • Organizer
      第40回情報理論とその応用シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] ランク誤りを考慮したcoded computationに関する一考察2017

    • Author(s)
      風間皐希,鎌塚明,松嶋敏泰
    • Organizer
      第40回情報理論とその応用シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] 正値の変動距離を許容した可変長intrinsic randomness問題2017

    • Author(s)
      吉澤潤,齋藤翔太,松嶋敏泰
    • Organizer
      第40回情報理論とその応用シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] 最小修復帯域幅を達成する再生成符号に基づく分散ストレージシステムにおける秘匿情報検索に関する一検討2017

    • Author(s)
      吉田隆弘,松嶋敏泰
    • Organizer
      第40回情報理論とその応用シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] 微少なアンダーフロー確率を許した可変長intrinsic randomness問題2017

    • Author(s)
      吉澤潤,齋藤翔太,松嶋敏泰
    • Organizer
      電子情報通信学会情報理論研究会
    • Related Report
      2017 Research-status Report
  • [Book] データ科学入門II2023

    • Author(s)
      松嶋 敏泰、早稲田大学データ科学教育チーム
    • Total Pages
      192
    • Publisher
      サイエンス社
    • ISBN
      4781915671
    • Related Report
      2022 Annual Research Report
  • [Book] データ科学入門I2022

    • Author(s)
      松嶋 敏泰、早稲田大学データ科学教育チーム
    • Total Pages
      192
    • Publisher
      サイエンス社
    • ISBN
      9784781915401
    • Related Report
      2022 Annual Research Report

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Published: 2017-04-28   Modified: 2024-01-30  

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