Kazuyuki Hara

According to our database, Kazuyuki Hara authored at least 25 papers between 1983 and 2022.

Collaborative distances:

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

2022

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

Yuto Omae, Makoto Sasaki, Jun Toyotani, Kazuyuki Hara, Hirotaka Takahashi

IEEE Access, 2022

2021

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation.

Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi

J. Adv. Comput. Intell. Intell. Informatics, 2021

2020

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

Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi

CoRR, 2020

Performance of Pre-Learned Convolution Neural Networks Applied to Recognition of Overlapping Digits.

Kazuyuki Hara, Daigo Shii, Ryosuke Miyoshi

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2017

Analysis of Dropout in Online Learning.

Kazuyuki Hara

CoRR, 2017

Statistical Mechanics of Node-perturbation Learning with Noisy Baseline.

Kazuyuki Hara, Kentaro Katahira, Masato Okada

CoRR, 2017

2016

Group Dropout Inspired by Ensemble Learning.

Kazuyuki Hara, Daisuke Saitoh, Takumi Kondou, Satoshi Suzuki, Hayaru Shouno

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

Analysis of Dropout Learning Regarded as Ensemble Learning.

Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Mutual Learning Using Nonlinear Perceptron.

Daisuke Saitoh, Kazuyuki Hara

J. Artif. Intell. Soft Comput. Res., 2015

Analysis of function of rectified linear unit used in deep learning.

Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function.

Kazuyuki Hara, Kentaro Katahira

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Soft Committee Machine Using Simple Derivative Term.

Kazuyuki Hara, Kentaro Katahira

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2012

Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning.

Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Ensemble-Teacher Learning through a Perceptron Rule with a Margin.

Kazuyuki Hara, Seiji Miyoshi

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.

Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.

Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada

Proceedings of the Artificial Neural Networks, 2009

2008

Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction.

Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada

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.

Seiji Miyoshi, Kazuyuki Hara, Masato Okada

Syst. Comput. Jpn., 2005

2004

Online learning of a simple perceptron learning with margin.

Kazuyuki Hara, Masato Okada

Syst. Comput. Jpn., 2004

On-line learning through simple perceptron learning with a margin.

Kazuyuki Hara, Masato Okada

Neural Networks, 2004

2000

A Training Method with Small Computation for Classification.

Kazuyuki Hara, Kenji Nakayama

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.

Ashraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara

Proceedings of the Artificial Neural Networks, 1997

1996

Selection of minimum training data for generalization and online training by multilayer neural networks.

Kazuyuki Hara, Kenji Nakayama

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.

Kazuyuki Hara, Kenji Nakayama

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1983

Relational Data Base Systems INQ and RIOS.

Kazuyuki Hara, Tatsuo Gotoh, Tsuyoshi Miyazaki, Ken Takeuchi, Shigeru Mabuchi

IEEE Database Eng. Bull., 1983