default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKatsuyuki Hagiwara
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i4]Katsuyuki Hagiwara:
Over-parameterized regression methods and their application to semi-supervised learning. CoRR abs/2409.04001 (2024)- 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) - [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)
2010 – 2019
- 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 - [i1]Katsuyuki Hagiwara:
On an improvement of LASSO by scaling. CoRR abs/1808.07260 (2018) - 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) - [c9]Katsuyuki Hagiwara:
A Problem in Model Selection of LASSO and Introduction of Scaling. ICONIP (2) 2016: 20-27 - 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) - [c8]Katsuyuki Hagiwara:
Least Angle Regression in Orthogonal Case. ICONIP (2) 2014: 540-547 - 2011
- [j10]Katsuyuki Hagiwara:
Nonparametric Regression Method Based on Orthogonalization and Thresholding. IEICE Trans. Inf. Syst. 94-D(8): 1610-1619 (2011) - 2010
- [c7]Katsuyuki Hagiwara:
On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem. IJCNN 2010: 1-8
2000 – 2009
- 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) - [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 - 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) - 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
1990 – 1999
- 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 - 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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-10 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
