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Katsuyuki Hagiwara: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui
    Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:502-505 [Conf]
  2. Katsuyuki Hagiwara, Kazuhiro Kuno
    Regularization Learning and Early Stopping in Linear Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:511-516 [Conf]
  3. Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui
    On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:461-466 [Conf]
  4. Katsuyuki Hagiwara
    Regularization learning, early stopping and biased estimator. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:937-955 [Journal]
  5. Katsuyuki Hagiwara
    On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:8, pp:1979-2002 [Journal]
  6. Katsuyuki Hagiwara, Taichi Hayasaka, Naohiro Toda, Shiro Usui, Kazuhiro Kuno
    Upper bound of the expected training error of neural network regression for a Gaussian noise sequence. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:10, pp:1419-1429 [Journal]
  7. Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui
    Equivalence relation between the back propagation learning process of an FNN and that of an FNNG. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:2, pp:411-0 [Journal]

  8. Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise. [Citation Graph (, )][DBLP]


  9. Orthogonalization and Thresholding Method for a Nonparametric Regression Problem. [Citation Graph (, )][DBLP]


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