論文

• Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe. Asymptotic Analysis of Bayesian Generalization Error with Newton Diagram, Neural Networks, Elsevior, Vol. 23, No. 1, pp. 35-43, Jan. 2010.
• Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe. Stochastic Complexity and Newton Diagram, Proceedings of International Symposium on Information Theory and its Applications (ISITA2004), pp. 105-110, 2004.

国際会議発表 (査読有り)

• Keisuke Yamazaki, Samuel Kaski. An Analysis of Generalization Error in Relevant Subtask Learning, International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly, Nov. 2008.
• Keisuke Yamazaki, Sumio Watanabe. Experimental Bayesian Generalization Error of Non-Regular Models under Covariate Shift, International Conference on Neural Information Processing, Proc. of ICONIP 2007, Nov. 2007.
• Keisuke Yamazaki, SUMIO WATANABE, Masashi Sugiyama. Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different, Proc. of ICML, 2007.
• Keisuke Yamazaki, Kenji Nagata, SUMIO WATANABE, Klaus-Robert Mueller. A Model Selection Method Based on Bound of Learning Coefficient, Proc. of International Conference on Artificial Neural Networks, pp. 371-380, Sept. 2006.
• Keisuke Yamazaki, SUMIO WATANABE. Generalization Errors in Estimation of Stochastic Context-Free Grammar, The IASTED International Conference on Artificial Intelligence and Soft Computing, pp. 183-188, 2005.
• Keisuke Yamazaki, Kenji Nagata, SUMIO WATANABE. A New Method of Model Selection Based on Learning Coefficient, Proc. of International Symposium on Nonlinear Theory and its Applications, 2005.

学位論文

• Asymptotic expansion of stochastic complexities in singular learning machines,  Thesis,  Doctor of Engineering,  Tokyo Institute of Technology,  2004/03/26,    (Organization name: Tokyo Institute of Technology)

[ BibTeX 形式で保存 ]    [ 論文・著書をCSV形式で保存 ]    [ 特許をCSV形式で保存 ]