九州大学 研究者情報
発表一覧
竹内 純一(たけうち じゆんいち) データ更新日:2019.06.24

教授 /  システム情報科学研究院 情報学部門 数理情報


学会発表等
1. Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi, Asymptotic Behavior of Typical Sets and the Smallest High Probability Set, The International Symposium on Information Theory and Its Applications 2018, 2018.10.
2. Jun'ichi Takeuchi, Hiroshi Nagaoka, Information Geometry of The Family of Markov Kernels Defined by A Context Tree, 2017 IEEE Information Theory Workshop, 2017.10.
3. Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Jun'ichi Takeuchi, MDL criterion for NMF with Application to Botnet Detection, the 2016 Data Mining and Cybersecurity Workshop, associated with the 23rd International Conference on Neural Information Processing,, 2016.10.
4. Chan-su Han, Kento Kono, Masanori Kawakita, Jun'ichi Takeuchi, Botnet Detection Using Graphical Lasso with Graph Density, the 2016 Data Mining and Cybersecurity Workshop, associated with the 23rd International Conference on Neural Information Processing,, 2016.10.
5. Yoshinari Takeishi, Jun'ichi Takeuchi, An Improved Upper Bound on Block Error Probability of Least Squares Superposition Codes with Unbiased Bernoulli Dictionary, 2016 IEEE International Symposium on Information Theory, 2016.07.
6. Masanori Kawakita, Jun'ichi Takeuchi, Barron and Cover's Theory in Supervised Learning and Its Application to Lasso, The 33rd International Conference on Machine Learning, 2016.06.
7. Jun'ichi Takeuchi, Andrew R. Barron, Stochastic complexity for tree models, 2014 IEEE Information Theory Workshop, 2014.11.
8. Norikazu Takahashi, Jiro Katayama, Jun'ichi Takeuchi, A Generalized Sufficient Condition for Global Convergence of Modified Multiplicative Updates for NMF, 2014 International Symposium on Nonlinear Theory and its Applications, 2014.09.
9. Jun'ichi Takeuchi, Andrew R. Barron, Asymptotically minimax regret for models with hidden variables, 2014 IEEE International Symposium on Information Theory, 2014.07.
10. Jiro Katayama, Norikazu Takahashi, Jun'ichi Takeuchi, Boundedness of modified multiplicative updates for nonnegative matrix factorization, The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013.12.
11. Jun'ichi Takeuchi, Andrew R. Barron, Asymptotically Minimax Regret by Bayes Mixtures for Non-exponential Families, 2013 IEEE Information Theory Workshop, 2013.09.
12. Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi, Least Squares Superposition Codes with Bernoulli Dictionary are Still Reliable at Rates up to Capacity, 2013 IEEE International Symposium on Information Theory, 2013.07.
13. Jun'ichi Takeuchi, High Dimensional Data Analysis for Botnet Detection, the 19th International Conference on Neural Information Processing, 2012.11.
14. Sayaka Yamauchi, Masanori Kawakita, Jun'ichi Takeuchi, Botnet Detection based on Non-negative Matrix Factorization and the MDL Principle, the 19th International Conference on Neural Information Processing, 2012.11.
15. Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi, Jun'ichi Takeuchi, Information Theoretic Limit of Single Frame Superresolution, The Third International Conference on Emerging Security Technologies, 2012.09.
16. Jun'ichi Takeuchi, Yoshinari Takeishi, Sparse Superposition Codes with Discrete Dictionary, The 5th Workshop on Information Theoretic Methods in Science and Engineering, 2012.08.
17. Mariko Tsurusaki, Jun'ichi Takeuchi, Constant Markov Portfolio and Its Application to Universal Portfolio with Side Information, 2012 IEEE International Symposium on Information Theory, 2012.07.
18. Mariko Tsurusaki, Jun'ichi Takeuchi, Stochastic Interpretation of Universal Portfolio and Generalized Target Classes, 2011 IEEE International Symposium on Information Theory, 2011.08.
19. Jun'ichi Takeuchi, Stochastic Complexity and Exponential Curvature, The Fourth Workshop on Information Theoretic Methods in Science and Engineering, 2011.08.
20. Jun'ichi Takeuchi, Mariko Tsurusaki, Universal Prediction and Universal Portfolio, The 5th International IMBIC Conference MSAST 2010, 2011.12.
21. M. Kawakita, R. Izumi, J. Takeuchi, Y. Hu, T. Takamori, H. Kameyama, Acceleration Technique for Boosting Classification and Its Application to Face Detection,'' The Third Asian Conference on Machine Learning, The Third Asian Conference on Machine Learning, 2011.11.
22. Jun'ichi Takeuchi, Botnet Detection Using Graphical Model Learning, The 4th International IMBIC Conference MSAST 2010, 2010.12.
23. Jun'ichi Takeuchi, Marko Tsurusaki, Universal portfolio and universal source coding, 統計数理研究所・研究集会「エルゴード理論、情報理論、計算機科学とその周辺」, 2011.03.
24. 清田佳孝、奥村大輔、川喜田雅則、高橋規一、竹内純一, ベイズ超解像におけるSIFTを用いたパラメタ推定手法の提案, 電子情報通信学会技術研究報告 IE2010-168, 2011.03.
25. 村上慎太郎、川喜田雅則、竹内純一, γダイバージェンスに基づく異常検知手法の提案とシステムコール発行履歴への適用, 電子情報通信学会技術研究報告 ISEC2010-72, 2011.03.
26. 濱崎浩輝、川喜田雅則、竹内純一、井上大介、衛藤将史、中尾康二, スパース構造学習を用いたボットネット検知法の提案とダークネットデータへの適用, 2011年暗号と情報セキュリティシンポジウム, 2011.01.
27. 川喜田雅則,竹内純一, ブースティングに関する最近の進展について, 第33回情報理論とその応用シンポジウム, 2010.11.
28. Masanori Kawakita, Youko Oie, Jun'ichi Takeuchi, A note on model selection for small sample regression, International Symposium on Information Theory and its Applications 2010, 2010.10.
29. 鶴崎真理子,竹内純一, ポートフォリオのFisher情報量について, 第33回情報理論とその応用シンポジウム, 2010.11.
30. Takeuchi, Fisher Information Determinant and Stochastic complexity for Markov Models, 2009 IEEE International Symposium on Information Theory, 2009.07.
31. Takeuchi, Kawabata, Exponential Curvature of Markov Sources, 2007 IEEE International Symposium on Information Theory, 2007.06.

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