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2020 – today
- 2024
[j10]Sousuke Okukawa, Kazuyuki Hara, Kinya Hibino, Yusaku Katayose, Kazumasa Kawata, Munehiro Ohnishi, Takashi Sako, Takashi K. Sako, Makio Shibata, Atsushi Shiomi, Masato Takita:
Neural networks for separation of cosmic gamma rays and hadronic cosmic rays in air shower observation with a large area surface detector array. Mach. Learn. Sci. Technol. 5(2): 25016 (2024)- 2022
- [j9]Yuto Omae
, Makoto Sasaki, Jun Toyotani, Kazuyuki Hara, Hirotaka Takahashi:
Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan. IEEE Access 10: 43044-43054 (2022) - 2021
- [j8]Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi:
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation. J. Adv. Comput. Intell. Intell. Informatics 25(6): 931-943 (2021) - 2020
- [c16]Kazuyuki Hara, Daigo Shii, Ryosuke Miyoshi:
Performance of Pre-Learned Convolution Neural Networks Applied to Recognition of Overlapping Digits. BigComp 2020: 113-116 - [i5]Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi:
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation. CoRR abs/2008.13166 (2020) - [i4]Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi:
A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors. CoRR abs/2010.12067 (2020)
2010 – 2019
- 2017
- [i3]Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of dropout learning regarded as ensemble learning. CoRR abs/1706.06859 (2017) - [i2]Kazuyuki Hara, Kentaro Katahira, Masato Okada:
Statistical Mechanics of Node-perturbation Learning with Noisy Baseline. CoRR abs/1706.06953 (2017) - [i1]Kazuyuki Hara:
Analysis of Dropout in Online Learning. CoRR abs/1711.03343 (2017) - 2016
- [c15]Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of Dropout Learning Regarded as Ensemble Learning. ICANN (2) 2016: 72-79 - [c14]Kazuyuki Hara, Daisuke Saitoh, Takumi Kondou, Satoshi Suzuki, Hayaru Shouno:
Group Dropout Inspired by Ensemble Learning. ICONIP (2) 2016: 66-73 - 2015
- [j7]Daisuke Saitoh, Kazuyuki Hara:
Mutual Learning Using Nonlinear Perceptron. J. Artif. Intell. Soft Comput. Res. 5(1): 71 (2015) - [c13]Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of function of rectified linear unit used in deep learning. IJCNN 2015: 1-8 - 2014
- [j6]Kazuyuki Hara, Kentaro Katahira:
Theoretical Analysis of Learning Speed in Gradient Descent Algorithm Replacing Derivative with Constant. Inf. Media Technol. 9(1): 61-66 (2014) - [c12]Kazuyuki Hara, Kentaro Katahira:
Soft Committee Machine Using Simple Derivative Term. ICAISC (1) 2014: 59-66 - [c11]Kazuyuki Hara, Kentaro Katahira:
Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function. ICANN 2014: 499-506 - [c10]Daisuke Saitoh, Kazuyuki Hara:
Mutual learning using nonlinear perceptron. SCIS&ISIS 2014: 1091-1095 - 2012
- [c9]Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning. ICANN (2) 2012: 9-16 - 2011
- [j5]Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Statistical Mechanics of On-line Node-perturbation Learning. Inf. Media Technol. 6(2): 352-361 (2011) - [c8]Kazuyuki Hara, Seiji Miyoshi:
Ensemble-Teacher Learning through a Perceptron Rule with a Margin. ICANN (1) 2011: 363-370 - 2010
- [c7]Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi:
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin. ICANN (3) 2010: 339-344
2000 – 2009
- 2009
- [c6]Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada:
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory. ICANN (1) 2009: 171-180 - 2008
- [c5]Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada:
Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction. ICONIP (2) 2008: 195-202 - 2005
- [j4]Seiji Miyoshi, Kazuyuki Hara, Masato Okada:
Analysis of ensemble learning using simple perceptrons based on on-line learning theory. Syst. Comput. Jpn. 36(12): 63-74 (2005) - 2004
- [j3]Kazuyuki Hara, Masato Okada:
On-line learning through simple perceptron learning with a margin. Neural Networks 17(2): 215-223 (2004) - [j2]Kazuyuki Hara, Masato Okada:
Online learning of a simple perceptron learning with margin. Syst. Comput. Jpn. 35(7): 98-105 (2004) - 2000
- [c4]Kazuyuki Hara, Kenji Nakayama:
A Training Method with Small Computation for Classification. IJCNN (3) 2000: 543-548
1990 – 1999
- 1997
- [c3]Ashraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara:
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence. ICANN 1997: 1047-1052 - 1996
- [c2]Kazuyuki Hara, Kenji Nakayama:
Selection of minimum training data for generalization and online training by multilayer neural networks. ICNN 1996: 436-441 - 1995
- [c1]Kazuyuki Hara, Kenji Nakayama:
Signal classification based on frequency analysis using multilayer neural network with limited data and computation. ICNN 1995: 600-605
1980 – 1989
- 1983
- [j1]Kazuyuki Hara, Tatsuo Gotoh, Tsuyoshi Miyazaki, Ken Takeuchi, Shigeru Mabuchi:
Relational Data Base Systems INQ and RIOS. IEEE Database Eng. Bull. 6(1): 22-28 (1983)
Coauthor Index
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