九州大学 研究者情報
論文一覧
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


原著論文
1. Norikazu Takahashi, Jiro Katayama, Masato Seki, Jun'ichi Takeuchi, A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization, Computational Optimization and Applications, https://doi.org/10.1007/s10589-018-9997-y, 2018.03.
2. Masanori Kawakita, Jun'ichi Takeuchi, A Note on Model Selection for Small Sample Regression, Machine Learning, 106, 11, 1839-1862, 2017.11.
3. Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi, Least Squares Superposition Codes with Bernoulli Dictionary are Still Reliable at Rates up to Capacity, IEEE Transactions on Information Theory, 60, 5, 2737-2750, 2014.05.
4. Masanori Kawakita, Jun'ichi Takeuchi, Safe Semi-supervised Learning Based on Weighted Likelihood, Neural Networks, 53, 146-164, 2014.05.
5. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi, Behavior-Based Method for Detecting Distributed Scan Attacks in Darknets, Journal of Information Processing, 21, 3, 527-538, 2013.06.
6. Jun'ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron, Properties of Jeffreys mixture of Markov Sources, IEEE transactions on Information Theory, 59, 1, 438-457, 2013.01.
7. Jun'ichi Takeuchi, Stochastic complexity, channel capacity, and universal portfolio, Journal of Math-for-Industry, vol. 2, 2010, pp. 213-225, 2010, vol. 2, 2010, pp. 213-225, 2010, 2010.10.
8. H. Matsuzoe, J. Takeuchi & S. Amari, Equiaffine structures on statistical manifolds and Bayesian statistics, Differential Geometry and Its Applications, 24, 6, 567-578, 2006.11.
9. J. Takeuchi & K. Yamanishi, A Unifying Framework for Detecting Outliers and Change Points from Non-Stationary Time Series Data, IEEE transactions on Knowledge and Data Engineering, Vol. 18, No. 4, pp.482-489, 2006.04.
10. J. Takeuchi & S. Amari, α-Parallel Prior and Its Properties, IEEE transactions on Information Theory, Vol. 51, No. 3, pp. 1011-1023, 2005.03.
11. K. Yamanishi, J. Takeuchi, G. Williamas, & P. Milne, On-line Unsupervised Oultlier Detection Using Finite Mixtures with Discounting Learning Algorithms, Data Mining and Knowleged Discovery Journal, 8 (3): 275-300, 2004.05.
12. N. Abe, J. Takeuchi, & M. Warmuth, Polynomial Learnability of Stochastic Rules with respect to the KL-divergence and Quadratic Distance, IEICE transactions (D), 2001.03.
13. J. Takeuchi, N. Abe, & S. Amari, The Lob-Pass problem, Journal of Computer and System Sciences, 2000.03.
14. A. Nakamura, J. Takeuchi, & N. Abe, Efficient distribution-free population learning of simple concepts, Annals of Mathematics and Artificial Intelligence, 23, pp. 53-82, 1998.01.
15. J. Takeuchi, Characterization of the Bayes estimator and the MDL estimator for exponential families, IEEE transactions on Information Theory, Vol. 43, No. 4, pp. 1165-1174, 1997, 1997.01.
16. J. Takeuchi, Improved sample complexity bounds for parameter estimation, IEICE transactions (D), Vol. E78D, No. 5, pp. 526-531, 1995, 1995.01.

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