Sumio Watanabe Citation Information






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(1) Algebraic and Bayes

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(3) Ultrasonic and Neural

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Frequently Cited Papers
The total number of citations of the following papers is over 270. (2010/Jan/25).

  • Watanabe S, Algebraic analysis for nonidentifiable learning machines. NEURAL COMPUTATION Volume: 13 Issue: 4 Pages: 899-933, 2001
  • Ishii S, Fukumizu K, Watanabe S, A network of chaotic elements for information processing. NEURAL NETWORKS Volume: 9 Issue: 1 Pages: 25-40, 1996
  • Watanabe S, Yoneyama M, An ultrasonic visual sensor for 3-dimensional object recognition using neural networks. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION Volume: 8 Issue: 2 Pages: 240-249, 1992
  • Watanabe S, Algebraic geometrical methods for hierarchical learning machines NEURAL NETWORKS Volume: 14 Issue: 8 Pages: 1049-1060, 2001
  • Watanabe S, Algebraic analysis for singular statistical estimation. ALGORITHMIC LEARNING THEORY, PROCEEDINGS Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Volume: 1720 Pages: 39-50, 1999
  • Yamazaki K, Watanabe S, Singularities in mixture models and upper bounds of stochastic complexity. NEURAL NETWORKS Volume: 16 Issue: 7 Pages: 1029-1038, 2003
  • Watanabe S, Yoneyama M, Ultrasonic robot eyes using neural networks. EEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL Volume: 37 Issue: 3 Pages: 141-147, 1990
  • Aoyagi M, Watanabe S, Stochastic complexities of reduced rank regression in Bayesian estimation. NEURAL NETWORKS Volume: 18 Issue: 7 Pages: 924-933, 2005
  • Watanabe S, Fukumizu K, Probabilistic design of layered neural networks based on their unified framework. IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 6 Issue: 3 Pages: 691-702, 1995
  • Yamazaki K, Watanabe S, Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities. IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 16 Issue: 2 Pages: 312-324, 2005
  • Watanabe S, Amari S Learning coefficients of layered models when the true distribution mismatches the singularities NEURAL COMPUTATION Volume: 15 Issue: 5 Pages: 1013-1033, 2003
  • Watanabe K, Watanabe S, Stochastic complexities of Gaussian mixtures in variational Bayesian approximation JOURNAL OF MACHINE LEARNING RESEARCH Volume: 7 Pages: 625-643, 2006





Remarks: In Japan, ``Watanabe" is a very popular family name, hence there are a lot of researchers who are classified into ``S Watanabe". Professor Sinzo Watanabe in Kyoto University, who is the pioneer in stochastic differential equation, is a different researcher from me. Also Professor Satoshi Watanabe in Hawaii University, who is the pioneer in cognitive science, is a different researcher from me.