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Katsuyuki Hagiwara
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Journal Articles
- 2023
- [j15]Katsuyuki Hagiwara:
On Gradient Descent Training Under Data Augmentation with On-Line Noisy Copies. IEICE Trans. Inf. Syst. 106(9): 1537-1545 (2023) - 2022
- [j14]Katsuyuki Hagiwara:
Bridging between Soft and Hard Thresholding by Scaling. IEICE Trans. Inf. Syst. 105-D(9): 1529-1536 (2022) - 2017
- [j13]Katsuyuki Hagiwara:
A Scaling and Non-Negative Garrote in Soft-Thresholding. IEICE Trans. Inf. Syst. 100-D(11): 2702-2710 (2017) - 2016
- [j12]Katsuyuki Hagiwara:
On scaling of soft-thresholding estimator. Neurocomputing 194: 360-371 (2016) - 2014
- [j11]Katsuyuki Hagiwara:
A Sparse Modeling Method Based on Reduction of Cost Function in Regularized Forward Selection. IEICE Trans. Inf. Syst. 97-D(1): 98-106 (2014) - 2011
- [j10]Katsuyuki Hagiwara:
Nonparametric Regression Method Based on Orthogonalization and Thresholding. IEICE Trans. Inf. Syst. 94-D(8): 1610-1619 (2011) - 2008
- [j9]Katsuyuki Hagiwara, Kenji Fukumizu
:
Relation between weight size and degree of over-fitting in neural network regression. Neural Networks 21(1): 48-58 (2008) - 2006
- [j8]Katsuyuki Hagiwara, Hiroshi Ishitani:
On the Expected Prediction Error of Orthogonal Regression with Variable Components. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(12): 3699-3709 (2006) - 2003
- [j7]Katsuyuki Hagiwara:
Model Selection with Componentwise Shrinkage in Orthogonal Regression. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(7): 1749-1758 (2003) - 2002
- [j6]Katsuyuki Hagiwara:
Regularization learning, early stopping and biased estimator. Neurocomputing 48(1-4): 937-955 (2002) - [j5]Katsuyuki Hagiwara:
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. Neural Comput. 14(8): 1979-2002 (2002) - 2001
- [j4]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. Neural Networks 14(10): 1419-1429 (2001) - 1996
- [j3]Shiro Usui, Yutaka Hirata, Katsuyuki Hagiwara, Naohiro Toda, Ichiro Akagi:
An analysis of carp cerebellar eeg under the microgravitational environment. Syst. Comput. Jpn. 27(3): 71-83 (1996) - 1995
- [j2]Qi Jia, Katsuyuki Hagiwara, Shiro Usui, Naohiro Toda:
Analysis of the error back-propagation learning algorithms with gain. Syst. Comput. Jpn. 26(6): 49-58 (1995) - 1994
- [j1]Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui:
Equivalence relation between the back propagation learning process of an FNN and that of an FNNG. Neural Networks 7(2): 411- (1994)
Conference and Workshop Papers
- 2019
- [c11]Katsuyuki Hagiwara:
A Model Selection Criterion for LASSO Estimate with Scaling. ICONIP (2) 2019: 248-259 - 2018
- [c10]Katsuyuki Hagiwara:
On a Fitting of a Heaviside Function by Deep ReLU Neural Networks. ICONIP (1) 2018: 59-69 - 2016
- [c9]Katsuyuki Hagiwara:
A Problem in Model Selection of LASSO and Introduction of Scaling. ICONIP (2) 2016: 20-27 - 2014
- [c8]Katsuyuki Hagiwara:
Least Angle Regression in Orthogonal Case. ICONIP (2) 2014: 540-547 - 2010
- [c7]Katsuyuki Hagiwara:
On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem. IJCNN 2010: 1-8 - 2008
- [c6]Katsuyuki Hagiwara:
Orthogonalization and Thresholding Method for a Nonparametric Regression Problem. ICONIP (2) 2008: 187-194 - 2007
- [c5]Katsuyuki Hagiwara:
Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise. ICONIP (1) 2007: 537-546 - 2000
- [c4]Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui:
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. IJCNN (6) 2000: 461-466 - [c3]Katsuyuki Hagiwara, Kazuhiro Kuno:
Regularization Learning and Early Stopping in Linear Networks. IJCNN (4) 2000: 511-516 - 1998
- [c2]Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui:
Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise. ICONIP 1998: 502-505 - 1997
- [c1]Taichi Hayasaka, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui:
On the Model Selection for Linear Combination of Step-Type Basis Functions. ICONIP (1) 1997: 245-248
Informal and Other Publications
- 2022
- [i3]Katsuyuki Hagiwara:
On gradient descent training under data augmentation with on-line noisy copies. CoRR abs/2206.03734 (2022) - 2021
- [i2]Katsuyuki Hagiwara:
Bridging between soft and hard thresholding by scaling. CoRR abs/2104.09703 (2021) - 2018
- [i1]Katsuyuki Hagiwara:
On an improvement of LASSO by scaling. CoRR abs/1808.07260 (2018)
Coauthor Index
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