Kazuyuki Hara

Orcid: 0000-0001-5026-5689

According to our database1, Kazuyuki Hara authored at least 28 papers between 1983 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2024
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., 2024

2022
Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan.
IEEE Access, 2022

2021
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation.
J. Adv. Comput. Intell. Intell. Informatics, 2021

2020
A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors.
CoRR, 2020

Performance of Pre-Learned Convolution Neural Networks Applied to Recognition of Overlapping Digits.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2017
Analysis of Dropout in Online Learning.
CoRR, 2017

Statistical Mechanics of Node-perturbation Learning with Noisy Baseline.
CoRR, 2017

2016
Group Dropout Inspired by Ensemble Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analysis of Dropout Learning Regarded as Ensemble Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Mutual Learning Using Nonlinear Perceptron.
J. Artif. Intell. Soft Comput. Res., 2015

Analysis of function of rectified linear unit used in deep learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Theoretical Analysis of Learning Speed in Gradient Descent Algorithm Replacing Derivative with Constant.
Inf. Media Technol., 2014

Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Soft Committee Machine Using Simple Derivative Term.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2012
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Statistical Mechanics of On-line Node-perturbation Learning.
Inf. Media Technol., 2011

Ensemble-Teacher Learning through a Perceptron Rule with a Margin.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.
Proceedings of the Artificial Neural Networks, 2009

2008
Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2005
Analysis of ensemble learning using simple perceptrons based on on-line learning theory.
Syst. Comput. Jpn., 2005

2004
Online learning of a simple perceptron learning with margin.
Syst. Comput. Jpn., 2004

On-line learning through simple perceptron learning with a margin.
Neural Networks, 2004

2000
A Training Method with Small Computation for Classification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1997
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence.
Proceedings of the Artificial Neural Networks, 1997

1996
Selection of minimum training data for generalization and online training by multilayer neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Signal classification based on frequency analysis using multilayer neural network with limited data and computation.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1983
Relational Data Base Systems INQ and RIOS.
IEEE Database Eng. Bull., 1983


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