論文

• Daisuke Kaji, SUMIO WATANABE. Two Design Methods of Hyperparameters in Variational Bayes Learning for Bernoulli Mixtures, Neurocomputing, Elsevior, Vol. 74, No. 11, pp. 2002-2007, May 2011.
• 梶大介, 渡邊澄夫. 形式的情報量規準による決定株を用いた AdaBoost のモデル選択, 電子情報通信学会誌, Vol. J92-D, No. 11, pp. 2051-2058, Nov. 2009.

国際会議発表 (査読有り)

• Daisuke Kaji, SUMIO WATANABE. Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes, Proc. of ICONIP, CD-ROM, Dec. 2009.
• Daisuke Kaji, SUMIO WATANABE. Model Selection Method for AdaBoost Using Formal Information Criteria, International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly, Nov. 2008.

学位論文

• Phase transition in variational bayes learning and optimal design of prior distribution,  Thesis,  Doctor (Science),  Tokyo Institute of Technology,  2011/03/26,   

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