論文

• 平林晃. 射影学習族, 電子情報通信学会論文誌, Vol. J83-D-Ⅱ, No. 2, pp. 754-764, 2000.
• 平林晃. 帯域通過型標本化定理を用いた白色光干渉による表面凹凸形状の高速測定, 計測自動制御学会論文集, Vol. 36, No. 1, pp. 16-25, 2000.
• A. Hirabayashi, H. Ogawa. What can memorization learning do from noisy training data?, 6th International Conference on Neural Information Processing, Vol. 1, pp. 228--233, 1999.
• A. Hirabayashi, H. Ogawa. Projection learning of the minimum variance type, 6th International Conference on Neural Information Processing, Vol. 3, pp. 1172--1177, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa, Yukihiko Yamashita . Admissibility of memorization learning with respect to projection learning in the presence of noise , IEICE Trans. on Information and Systems, Vol. E, No. 2, pp. 488-496, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa. What can memorization learning do?, IJCNN'99, 1999 Int. Joint Conf. on Neural Networks, Washington, D.C., USA, No. 247, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa . What can memorization learning do from noisy training data? , ICONIP'99, 6th Int. Conf. on Neural Information Processing, Perth, Australia, Vol. 1, pp. 228-233, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa . Projection learning of the minimum variance type , ICONIP'99, 6th Int. Conf. on Neural Information Processing, Perth, Australia, Vol. 3, pp. 1172-1177, 1999.
• A. Hirabayashi, H. Ogawa, Y. Yamashita. Admissibility of memorization learning with respect to projection learning in the presence of noise, IEICE Transactions on Information and Systems, Vol. E82-D, No. 2, pp. 488--496, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa, Akiko Nakashima. Realization of admissibility of memorization learning with respect to projection learning, LWA'99, Lernen, Wissensentdeckung und Adaptivitat, Magdeburg, Germany, pp. 20-31, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa . What can memorization learning do?, IJCNN'99, 1999 Int. Joint Conf. on Neural Networks, Washington, D.C., USA , No. 247, 1999.
• Sethu Vijayakumar, Hidemitsu Ogawa, Akira Hirabayashi. RKHS-based functional analysis for exact incremantal learning, Neurocomputing, Special Issue on Theoretical Analysis of Real Valued Function Classes, Vol. 2, No. 1-3, pp. 85-113, 1999.
• Masashi Sugiyama, Hidemitsu Ogawa, Akira Hirabayashi. Exact incremental projection learning in the presence of noise , SCIA'99, The 11th Scandinavian Confernce on Image Analysis, Kangerlussuaq, Greenland, pp. 747-754, 1999.
• Akiko Nakashima, Hidemitsu Ogawa, Akira Hirabayashi. How to design a regularization term for improving generalization, ICONIP'99, 6th Int. Conf. on Neural Information Processing, Perth, Australia, Vol. 1, pp. 222-227, 1999.
• Masashi Sugiyama, Hidemitsu Ogawa, Akira Hirabayashi. Pseudo orthogonal bases give the optimal generalization capability in neural network learning , SPIE'99 The International Symposium on Optical Science, Engineering, and Instrumentatin, Wavelet Applications in Signal and Image Processing VII (sd84), Denver, Colorado USA, Vol. 3813, pp. 526-537, 1999.
• Masashi Sugiyama, Hidemitsu Ogawa , Akira Hirabayashi. Training data selection for optimal generalization in trigonometric polynomial networks , NIPS'99, Neural Information Processing Systems-Natural and Synthetic, Denver, Colorado USA, 1999.
• Akira Hirabayashi, Hidemitsu Ogawa. A class of learning for optimal generalization, IJCNN'99, 1999 Int. Joint Conf. on Neural Networks, Washington, D.C., USA, No. 246, 1999.
• A. Hirabayashi, H. Ogawa. A class of learning for optimal generalization, 1999 International Joint Conference on Neural Networks, No. 246, 1999.
• A. Hirabayashi, H. Ogawa. What can memorization learning do?, 1999 International Joint Conference on Neural Networks, No. 247, 1999.
• A. Hirabayashi, H. Ogawa, A. Nakashima. Realization of admissibility of memorization learning with respect to projection learning, LWA'99, Lernen, Wissensentdeckung und Adaptivitat, pp. 20--31, 1999.
• A. Nakashima, A. Hirabayashi, H. Ogawa. Noise suppression in training data for improving generalization, 1998 International Joint Conference on Neural Networks, pp. 2236--2241, 1998.
• A. Hirabayashi, H. Ogawa. Admissibility of memorization learning with respect to projection learning in the presence of noise, 1996 IEEE International Conference on Neural Networks, Vol. 1, pp. 335-340, 1996.

学位論文

• 教師付き学習における射影学習族に関する研究,  本文,  博士,  東京工業大学,  1999/12/31, 
• 教師付き学習における射影学習族に関する研究,  本文,  博士(工学),  東京工業大学,  1999/12/31,   

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