Research field (8):
Applied mathematics and statistics
, Basic mathematics
, Information security
, Control and systems engineering
, Intelligent informatics
, Statistical science
, Information theory
, Communication and network engineering
Research keywords (1):
情報理論、符号理論、統計科学、学習理論、知能情報、データ科学,情報セキュリティ
Research theme for competitive and other funds (17):
2016 - 2019 Mathematical model and evaluation of efficiency and security for next-generation distributed storage systems with high-performance
2016 - 2019 Construction of basic theory for next generation recommender system based on spatial analysis and temporal control
2013 - 2016 A Unified Analysis and Optimization of Information Security System with Probabilistic Components from Viewpoints of Convenience and Safety
2010 - 2012 A Study on Unified Attack against Stream Ciphers based on Probabilistic Inference Algorithms
2008 - 2010 Construction of Theory of Digital Analysis
2006 - 2008 Modeling and optimization of the sensor networks based on the multiterminal information theory and decision theory
2003 - 2005 Application and Analysis of Parallel Iterative Algorithms for Calculating Posterior Probability to Practical Codes and Channels
2000 - 2002 The Analysis and Design of the Reliable Iterative Decoding Algorithm based on Uncertain Reasoning
1998 - 2002 環境共生型高精度エネルギー予測/高効率エネルギー利用技術
1995 - 1997 Application of coding techniques to multimedia
1992 - 1992 情報理論を用いた帰納推論の基礎体系に関する研究
経営工学における知識情報処理に関する研究
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Papers (327):
Koshi SHIMADA, Shota SAITO, Toshiyasu MATSUSHIMA. An Efficient Bayes Coding Algorithm for Changing Context Tree Model. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2024. E107.A. 3. 448-457
Yuta NAKAHARA, Toshiyasu MATSUSHIMA. Batch Updating of a Posterior Tree Distribution Over a Meta-Tree. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2024. E107.A. 3. 523-525
Taisuke Ishiwatari, Shota Saito, Yuta Nakahara, Yuji Iikubo, Toshiyasu Matsushima. Bayes optimal estimation and its approximation algorithm for difference with and without treatment under IRSLC model. International Journal of Data Science and Analytics. 2023
Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima. Hyperparameter Learning of Bayesian Context Tree Models. 2023 IEEE International Symposium on Information Theory (ISIT). 2023
Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima. Asymptotic Evaluation of Classification in the Presence of Label Noise. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2023. E106A. 3. 422-430
YU Wenbin, 風間皐希, 中原悠太, 一條尚希, 齋藤翔太, 松嶋敏泰. An Approximation by Meta-Tree Boosting Method to Bayesian Optimal Prediction for Decision Tree Model. 電子情報通信学会技術研究報告(Web). 2022. 121. 327(IT2021 28-82)
本村勇人, 鎌塚明, 風間皐希, 松嶋敏泰. Markov Decision Processes for Simultaneous Control of Multiple Objects with Different State Transition Probabilities in Each Cluster. 電子情報通信学会技術研究報告(Web). 2021. 120. 395(IBISML2020 34-61)
風間皐希, 松嶋敏泰. A Note on Secure Distributed Matrix Multiplication Methods Based on Secret Sharing Systems with General Access Structures. 情報理論とその応用シンポジウム予稿集(CD-ROM). 2021. 44th
風間皐希, 鎌塚明, 吉田隆弘, 松嶋敏泰. A Coded Computation Method Based on a Gabidulin Code and the Evaluation of its Error-Correcting Capability. 電子情報通信学会論文誌 A(Web). 2021. J104-A. 6