Katsuyuki Hagiwara

According to our database, Katsuyuki Hagiwara authored at least 28 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Over-parameterized regression methods and their application to semi-supervised learning.

Katsuyuki Hagiwara

CoRR, 2024

2023

On Gradient Descent Training Under Data Augmentation with On-Line Noisy Copies.

Katsuyuki Hagiwara

IEICE Trans. Inf. Syst., September, 2023

2022

Bridging between Soft and Hard Thresholding by Scaling.

Katsuyuki Hagiwara

IEICE Trans. Inf. Syst., September, 2022

2019

A Model Selection Criterion for LASSO Estimate with Scaling.

Katsuyuki Hagiwara

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

On an improvement of LASSO by scaling.

Katsuyuki Hagiwara

CoRR, 2018

On a Fitting of a Heaviside Function by Deep ReLU Neural Networks.

Katsuyuki Hagiwara

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

A Scaling and Non-Negative Garrote in Soft-Thresholding.

Katsuyuki Hagiwara

IEICE Trans. Inf. Syst., 2017

2016

On scaling of soft-thresholding estimator.

Katsuyuki Hagiwara

Neurocomputing, 2016

A Problem in Model Selection of LASSO and Introduction of Scaling.

Katsuyuki Hagiwara

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014

A Sparse Modeling Method Based on Reduction of Cost Function in Regularized Forward Selection.

Katsuyuki Hagiwara

IEICE Trans. Inf. Syst., 2014

Least Angle Regression in Orthogonal Case.

Katsuyuki Hagiwara

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2011

Nonparametric Regression Method Based on Orthogonalization and Thresholding.

Katsuyuki Hagiwara

IEICE Trans. Inf. Syst., 2011

2010

On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem.

Katsuyuki Hagiwara

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

Relation between weight size and degree of over-fitting in neural network regression.

Katsuyuki Hagiwara, Kenji Fukumizu

Neural Networks, 2008

Orthogonalization and Thresholding Method for a Nonparametric Regression Problem.

Katsuyuki Hagiwara

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise.

Katsuyuki Hagiwara

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

On the Expected Prediction Error of Orthogonal Regression with Variable Components.

Katsuyuki Hagiwara, Hiroshi Ishitani

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

2003

Model Selection with Componentwise Shrinkage in Orthogonal Regression.

Katsuyuki Hagiwara

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

2002

On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario.

Katsuyuki Hagiwara

Neural Comput., 2002

Regularization learning, early stopping and biased estimator.

Katsuyuki Hagiwara

Neurocomputing, 2002

2001

Upper bound of the expected training error of neural network regression for a Gaussian noise sequence.

Katsuyuki Hagiwara, Taichi Hayasaka, Naohiro Toda, Shiro Usui, Kazuhiro Kuno

Neural Networks, 2001

2000

On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario.

Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Regularization Learning and Early Stopping in Linear Networks.

Katsuyuki Hagiwara, Kazuhiro Kuno

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998

Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise.

Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

On the Model Selection for Linear Combination of Step-Type Basis Functions.

Taichi Hayasaka, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996

An analysis of carp cerebellar eeg under the microgravitational environment.

Shiro Usui, Yutaka Hirata, Katsuyuki Hagiwara, Naohiro Toda, Ichiro Akagi

Syst. Comput. Jpn., 1996

1995

Analysis of the error back-propagation learning algorithms with gain.

Qi Jia, Katsuyuki Hagiwara, Shiro Usui, Naohiro Toda

Syst. Comput. Jpn., 1995

1994

Equivalence relation between the back propagation learning process of an FNN and that of an FNNG.

Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui

Neural Networks, 1994