Hagiwara Katsuyuki 萩原克幸

… Alternative Names

HAGIWARA Katsuyuki 萩原克幸

萩原克幸ハギワラカツユキ

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Researcher Number	60273348
Other IDs
External Links
Affiliation (Current)	2025: 三重大学, 教育学部, 教授
Affiliation (based on the past Project Information) *help	2018 – 2023: 三重大学, 教育学部, 教授 2009 – 2011: Mie University, 教育学部, 准教授 2007: Mie University, Faculty of Education, Associate Prof. 2004 – 2006: 三重大学, 教育学部, 助教授 2003: 名古屋工業大学, 工学研究科, 助教授 1999 – 2000: 三重大学, 工学部, 助手
Review Section/Research Field	Principal Investigator Sensitivity informatics/Soft computing / Basic Section 61040:Soft computing-related / Basic Section 61030:Intelligent informatics-related / Statistical science
Keywords	Principal Investigator モデル選択 / 学習誤差 / 特異モデル / 多層パーセプトロン / 極値理論 / 汎化誤差 / LASSO / スパース学習 / 縮小推定 / ノンパラメトリック回帰 … More / 可変基底 / 正則化 / モデル選択規準 / 識別可能性 / ブリッジ推定量 / スケーリング / Hard-Thresholding / Soft-Thresholding / Data Augmentation / Bridge推定量 / Soft-thresholding / 汎化性 / 統計的回帰 / データ拡張 / スパースモデリング / 貪欲法 / スパース正則化 / ニューラルネットワーク / Thresholding法 / thresholding / SURE / 階層型ニューラルネット / extreme value theory / over-fitting / shrinkage estimator / generalization error / training error / model selection / multi-laver perceptron / singular model / プラトー / スレシュホ一ルディング / オーバーフィッティング / Hard-thresholding法 / 学習理論 / 基底可変型関数 / 統計的漸近理論 / モデルの識別可能性 / 非線形回帰モデル / Radial Basis Functionネットワーク / ε-covering / 最小二乗推定 / 階層型ニューラルネットワーク Less

Model selection criterion for bridge estimator in sparse learningPrincipal Investigator
- Principal Investigator
  
  萩原克幸
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Mie University
On model selection criteria under shrinkage estimation in greedy learningPrincipal Investigator
- Principal Investigator
  
  Hagiwara Katsuyuki
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Mie University
Research on model selection of multi-layer perceptronPrincipal Investigator
- Principal Investigator
  
  HAGIWARA Katsuyuki
- Project Period (FY)
  2009 – 2011
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Sensitivity informatics/Soft computing
- Research Institution
  Mie University
Aresearch of statistical properties of singular models such as a multi-layer perceptronPrincipal Investigator
- Principal Investigator
  
  HAGIWARA Katsuyuki
- Project Period (FY)
  2006 – 2007
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Sensitivity informatics/Soft computing
- Research Institution
  Mie University
識別可能性が失われる場合の多層パーセプトロンの統計的性質に関する研究Principal Investigator
- Principal Investigator
  
  萩原克幸
- Project Period (FY)
  2003 – 2005
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Sensitivity informatics/Soft computing
- Research Institution
  Mie University
  Nagoya Institute of Technology
階層型ニューラルネットワーク統計的性質に関する研究Principal Investigator
- Principal Investigator
  
  萩原克幸
- Project Period (FY)
  1999 – 2000
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Mie University

All 2023 2022 2021 2019 2018 2011 2010 2009 2008 2007 2006 2005 2004 Other

All Journal Article Presentation Book

[Book] 入門統計的回帰とモデル選択2022
- Author(s)
  萩原克幸
- Total Pages
  240
- Publisher
  共立出版
- ISBN
  9784320114814
- Data Source
  KAKENHI-PROJECT-21K12048
[Book] 学習システムの理論と実現2005
- Author(s)
  渡辺, 萩原, 赤穂, 本村, 福水, 岡田, 青柳
- Total Pages
  195
- Publisher
  森北出版
- Data Source
  KAKENHI-PROJECT-15700187
[Journal Article] On Gradient Descent Training Under Data Augmentation with On-Line Noisy Copies2023
- Author(s)
  HAGIWARA Katsuyuki
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E106.D Issue: 9 Pages: 1537-1545
- DOI
  10.1587/transinf.2023EDP7008
- ISSN
  0916-8532, 1745-1361
- Year and Date
  2023-09-01
- Language
  English
- Data Source
  KAKENHI-PROJECT-21K12048
[Journal Article] Prediction-accuracy improvement of neural network to ferromagnetic multilayers by Gaussian data augmentation and ensemble learning2023
- Author(s)
  Nawa Kenji、Hagiwara Katsuyuki、Nakamura Kohji
- Journal Title
  
  Computational Materials Science
  
  Volume: 219 Pages: 112032-112032
- DOI
  10.1016/j.commatsci.2023.112032
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K03444, KAKENHI-PROJECT-21K12048, KAKENHI-PROJECT-22K14290, KAKENHI-PROJECT-19K03716
[Journal Article] Investigation of an efficient method of oocyte retrieval by dual stimulation for patients with cancer2023
- Author(s)
  Takeuchi Hiroki、Maezawa Tadashi、Hagiwara Katsuyuki、Horage Yuki、Hanada Tetsuro、Haipeng Huang、Sakamoto Mito、Nishioka Mikiko、Takayama Erina、Terada Kento、Kondo Eiji、Takai Yasushi、Suzuki Nao、Ikeda Tomoaki
- Journal Title
  
  Reproductive Medicine and Biology
  
  Volume: 22 Issue: 1 Pages: 12534-12534
- DOI
  10.1002/rmb2.12534
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K16802, KAKENHI-PROJECT-22K16833, KAKENHI-PROJECT-21K12048, KAKENHI-PROJECT-20K18164
[Journal Article] Pregnancy Rates after Hysteroscopic Endometrial Polypectomy versus Endometrial Curettage Polypectomy: A Retrospective Study2023
- Author(s)
  Nishioka Mikiko、Maezawa Tadashi、Takeuchi Hiroki、Hagiwara Katsuyuki、Tarui Sachiyo、Sakamoto Mito、Takayama Erina、Yajima Hideaki、Kondo Eiji、Kawato Hiroaki、Minoura Hiroyuki、Sugaya Ken、Fukuda Aisaku、Ikeda Tomoaki
- Journal Title
  
  Medicina
  
  Volume: 59 Issue: 10 Pages: 1868-1868
- DOI
  10.3390/medicina59101868
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K16802, KAKENHI-PROJECT-22K16833, KAKENHI-PROJECT-21K12048, KAKENHI-PROJECT-20K18164
[Journal Article] Bridging between Soft and Hard Thresholding by Scaling2022
- Author(s)
  HAGIWARA Katsuyuki
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E105.D Issue: 9 Pages: 1529-1536
- DOI
  10.1587/transinf.2021EDP7223
- ISSN
  0916-8532, 1745-1361
- Year and Date
  2022-09-01
- Language
  English
- Data Source
  KAKENHI-PROJECT-21K12048
[Journal Article] Bridging between soft and hard thresholding by scaling2022
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  arXiv
  
  Volume: arXiv:2104.09703 Pages: 1-10
- Open Access
- Data Source
  KAKENHI-PROJECT-21K12048
[Journal Article] Bridging between soft and hard thresholding by scaling2021
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  arXiv:2104.09703
  
  Volume: arXiv:2104.09703 Pages: 1-10
- Data Source
  KAKENHI-PROJECT-18K11433
[Journal Article] A Model Selection Criterion for LASSO Estimate with Scaling2019
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  Proceedings of Neural Information Processing 26th International Conference
  
  Volume: II Pages: 248-259
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11433
[Journal Article] On a Fitting of a Heaviside Function by Deep ReLU Neural Networks2018
- Author(s)
  Hagiwara Katsuyuki
- Journal Title
  
  L. Cheng et al. (Eds.): ICONIP 2018, LNCS 11301
  
  Volume: I Pages: 59-69
- DOI
  10.1007/978-3-030-04167-0_6
- ISBN
  9783030041663, 9783030041670
- Data Source
  KAKENHI-PROJECT-18K11433
[Journal Article] On an improvement of LASSO by scaling2018
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  arXiv:1808.07260
- Open Access
- Data Source
  KAKENHI-PROJECT-18K11433
[Journal Article] Nonparametric Regression Method Based on Orthogonalization and Thresholding2011
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E94-D Issue: 8 Pages: 1610-1619
- DOI
  10.1587/transinf.E94.D.1610
- NAID
  10030192519
- ISSN
  0916-8532, 1745-1361
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500215
[Journal Article] Nonparametric regression method based on orthogonalization and thresholding2011
- Author(s)
  K. Hagiwara
- Journal Title
  
  IEICE Trans. INF. & SYST.
  
  Volume: E94-D Pages: 1610-1619
- NAID
  10030192519
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500215
[Journal Article] On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem2010
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  Proc.of WCCI 2010 IEEE World Congress on Computational Intelligence
  
  Pages: 3131-3138
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500215
[Journal Article] Orthogonalization and thresholding method for a nonparametric regression problem2009
- Author(s)
  K. Hagiwara
- Journal Title
  
  Adovances in Neuro-Information Processing, Lecture Notes in Computer Science
  
  Volume: 5507 Pages: 187-194
- NAID
  110008096179
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500215
[Journal Article] Orthogonalization and Thresholding Method for a Nonparametric Regression Problem'2009
- Author(s)
  Hagiwara, K
- Journal Title
  
  Lecture Notes in Computer Science 5507
  
  Pages: 187-194
- NAID
  110008096179
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21500215
[Journal Article] Relation between weight size and degree of over-fitting in neural network regression2008
- Author(s)
  Katsuyuki Hagiwara, Kenji Fukumizu
- Journal Title
  
  Neural Networks 21
  
  Pages: 48-58
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] Relation between weight size and degree of over-fitting in neural network regression2008
- Author(s)
  Katsuyuki, Hagiwara, Kenji, Fukumizu
- Journal Title
  
  Neural Networks 21
  
  Pages: 48-58
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] Relation between weight sizeand, degree of over-fitting in neuralnetwork regression2008
- Author(s)
  Katsuyuki Hagiwara and Kenji Fukumizu
- Journal Title
  
  Neural Networks 21
  
  Pages: 48-58
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] A consistent model selection for orthogonal regression under component-wise shrinkage2006
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  Journal of Statistical Planning and Inference 136
  
  Pages: 1181-1195
- Data Source
  KAKENHI-PROJECT-15700187
[Journal Article] ニューラルネットワークの基礎と理論的に重要な課題2006
- Author(s)
  萩原克幸
- Journal Title
  
  プラズマ・核融合学会誌 82
  
  Pages: 282-286
- NAID
  110006282063
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] On the expected prediction error of orthogonal regression with variable components2006
- Author(s)
  Katsuyuki Hagiwara, Hiroshi Ishitani
- Journal Title
  
  IEICE Trans. Fundamentals 89-A
  
  Pages: 3699-3709
- NAID
  110007537877
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] On the expected prediction error of orthogonal regression with variable components2006
- Author(s)
  Katsuyuki, Hagiwara, Hiroshi, Ishitani
- Journal Title
  
  IEICE Trans. Fundamentals 89-A
  
  Pages: 3699-3709
- NAID
  110007537877
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] 周波数解析のためのモデル選択について2005
- Author(s)
  萩原克幸
- Journal Title
  
  電子情報通信学会技術研究報告書 Vol.104 No.559
  
  Pages: 79-84
- NAID
  110003281636
- Data Source
  KAKENHI-PROJECT-15700187
[Journal Article] 基底可変型関数のモデル選択について2004
- Author(s)
  萩原克幸
- Journal Title
  
  日本神経回路学会時限研究会「神経回路網の特異構造を学習理論」シンポジウム予稿集
  
  Pages: 143-155
- Data Source
  KAKENHI-PROJECT-15700187
[Journal Article] Over-fitting behavior of Gaussian unit under Gaussian noise2004
- Author(s)
  K.Hagiwara, K.Fukumizu
- Journal Title
  
  Proceedings of IJCNN2004 2
  
  Pages: 997-1002
- Data Source
  KAKENHI-PROJECT-15700187
[Journal Article] Orthogonal shrinkage methods for nonparametric regression under Gaussian noise
- Author(s)
  Katsuyuki, Hagiwara
- Journal Title
  
  Proceedings of International Conference on Neural Information Processing 2007, Lecture note in computer science, Springer (to appear)
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-18500171
[Journal Article] Orthogonal shrinkage methods for nonparametric regression under Gaussian noise
- Author(s)
  Katsuyuki Hagiwara
- Journal Title
  
  Proceedings of ICONIP2007, Lecture note in computer science, Springer (印刷中)
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18500171
[Presentation] A model selection criterion for LASSO estimate with scaling2019
- Author(s)
  Katsuyuki Hagiwara
- Organizer
  電子情報通信学会情報論的学習理論と機械学習研究会
- Data Source
  KAKENHI-PROJECT-18K11433
[Presentation] A Model Selection Criterion for LASSO Estimate with Scaling2019
- Author(s)
  Katsuyuki Hagiwara
- Organizer
  ICONIP2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11433
[Presentation] On a Fitting of a Heaviside Function by Deep ReLU Neural Networks2018
- Author(s)
  Katsuyuki Hagiwara
- Organizer
  ICONIP2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11433
[Presentation] On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem2010
- Author(s)
  K. Hagiwara
- Organizer
  Proc. of IJCNN 2010
- Place of Presentation
  Barcelona, Spain
- Data Source
  KAKENHI-PROJECT-21500215
[Presentation] Orthogonalization and thresholding method for a nonparameteric regression problem2010
- Author(s)
  萩原克幸
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-21500215
[Presentation] Orthogonalization and thresholding method for a nonparametric regression problem2010
- Author(s)
  萩原克幸
- Organizer
  電子情報通信学会情報論的学習理論と機械学習
- Place of Presentation
  東京大学生産技術研究所
- Year and Date
  2010-06-14
- Data Source
  KAKENHI-PROJECT-21500215
[Presentation] Estimation of the expected prediction error of orthogonal regression with variable components2007
- Author(s)
  Katsuyuki Hagiwara, Hiroshi Ishitani
- Organizer
  2007 Hawaii International Conference on Statistics, Mathematics and Related Fields
- Place of Presentation
  Hawaii, USA
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-18500171
[Presentation] Estimation of the expected prediction error of orthogonal regression with variable components2007
- Author(s)
  Katsuyuki, Hagiwara, Hiroshi, Ishitani
- Organizer
  Hawaii International Conference on Statistics, Mathematics and Related Fields
- Place of Presentation
  Hawaii, USA
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-18500171
[Presentation] Orthogonal shrinkage methods for nonparametric regressionunder Gaussian noise2007
- Author(s)
  Katsuyuki Hagiwara
- Organizer
  14th International Conference onNeural Information Processing
- Place of Presentation
  Kitakyushu, Japan
- Year and Date
  2007-11-16
- Data Source
  KAKENHI-PROJECT-18500171
[Presentation] Orthogonal shrinkage methods for nonparametric regression under Gaussian noise2007
- Author(s)
  Katsuyuki Hagiwara
- Organizer
  International Conference on Neural Information Processing 2007
- Place of Presentation
  Kitakyushu, Japan
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-18500171
[Presentation] Orthogonal shrinkage methods for nonparametric regressi on under Gaussian noise2007
- Author(s)
  Katsuyuki, Hagiwara
- Organizer
  International Conference on Neural Information Processing
- Place of Presentation
  Kitakyushu, Japan
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-18500171

1. 中村浩次

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 前沢忠志

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Hagiwara Katsuyuki 萩原 克幸

HAGIWARA Katsuyuki 萩原 克幸

萩原 克幸 ハギワラ カツユキ

Research Projects

Research Products

Co-Researchers

Model selection criterion for bridge estimator in sparse learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

On model selection criteria under shrinkage estimation in greedy learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research on model selection of multi-layer perceptronPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Aresearch of statistical properties of singular models such as a multi-layer perceptronPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

識別可能性が失われる場合の多層パーセプトロンの統計的性質に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

階層型ニューラルネットワーク統計的性質に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] 入門 統計的回帰とモデル選択2022

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] 学習システムの理論と実現2005

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] On Gradient Descent Training Under Data Augmentation with On-Line Noisy Copies2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Prediction-accuracy improvement of neural network to ferromagnetic multilayers by Gaussian data augmentation and ensemble learning2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Investigation of an efficient method of oocyte retrieval by dual stimulation for patients with cancer2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Pregnancy Rates after Hysteroscopic Endometrial Polypectomy versus Endometrial Curettage Polypectomy: A Retrospective Study2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Bridging between Soft and Hard Thresholding by Scaling2022

Author(s)

Journal Title

DOI

Hagiwara Katsuyuki 萩原克幸

HAGIWARA Katsuyuki 萩原克幸

萩原克幸ハギワラカツユキ

[Book] 入門統計的回帰とモデル選択2022