Noboru Murata

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Noboru Murata

教授

Calculated based on number of publications stored in Pure and citations from Scopus
1994 …2023

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  • 2010

    Multiple kernel learning by conditional entropy minimization

    Hino, H., Reyhani, N. & Murata, N., 2010 Dec 1, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. p. 223-228 6 p. 5708837. (Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Citations (Scopus)

  • Self-calibration of radially symmetric distortion by model selection

    Fujiki, J., Hino, H., Usami, Y., Akaho, S. & Murata, N., 2010, Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010. p. 1812-1815 4 p. 5597210. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    5 Citations (Scopus)
  • 2009

    An information theoretic perspective of the sparse coding

    Hino, H. & Murata, N., 2009 Sept 11, Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 1 ed. p. 84-93 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5551 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Citations (Scopus)

  • Calibration of radially symmetric distortion by fitting principal component

    Hino, H., Usami, Y., Fujiki, J., Akaho, S. & Murata, N., 2009 Sept 28, Computer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings. p. 149-156 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5702 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Citations (Scopus)

  • Item preference parameters from grouped ranking observations

    Hino, H., Fujimoto, Y. & Murata, N., 2009, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. p. 875-882 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5476 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Citation (Scopus)

  • Item-user preference mapping with mixture models: Data visualization for item preference

    Fujimoto, Y., Hino, H. & Murata, N., 2009, KDIR 2009 - 1st International Conference on Knowledge Discovery and Information Retrieval, Proceedings. p. 105-111 7 p. (KDIR 2009 - 1st International Conference on Knowledge Discovery and Information Retrieval, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Citations (Scopus)
  • 2008

    A generalized product rule and weak independence based on Bregman divergence

    Yu, F. & Noboru, M., 2008 Dec 1, WMSCI 2008 - The 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 - Proc.. p. 248-253 6 p. (WMSCI 2008 - The 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 - Proc.; vol. 5).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2006

    Robust estimation for mixture of probability tables based on β-likelihood

    Fujimoto, Y. & Murata, N., 2006, Proceedings of the Sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, p. 519-523 5 p. (Proceedings of the Sixth SIAM International Conference on Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2005

    Effects of norms on learning properties of support vector machines

    Ikeda, K. & Murata, N., 2005 Jan 1, 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Institute of Electrical and Electronics Engineers Inc., p. V241-V244 1416285. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. V).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Citations (Scopus)
  • 2000

    Population decoding based on an unfaithful model

    Wu, S., Nakahara, H., Murata, N. & Amari, S., 2000, Advances in Neural Information Processing Systems 12 - Proceedings of the 1999 Conference, NIPS 1999. Neural information processing systems foundation, p. 192-198 7 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Citations (Scopus)
  • 1997

    Adaptive on-line learning in changing environments

    Murata, N., Müller, K. R., Ziehe, A. & Amari, S. I., 1997 Jan 1, Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996. Neural information processing systems foundation, p. 599-605 7 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    28 Citations (Scopus)

  • Statistical analysis of regularization constant from bayes, MDL and NIC Points of view

    Amari, S. I. & Murata, N., 1997 Jan 1, Biological and Artificial Computation: From Neuroscience to Technology - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997, Proceedings. Springer Verlag, p. 284-293 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1240 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Citations (Scopus)