Kazuyuki Hara

发表

Soft Committee Machine Using Simple Derivative Term

Kazuyuki Hara, Kentaro Katahira, 2014, ICAISC.

Spoken dialogue understanding using an incremental speech understanding method

Masato Okada, Kazuyuki Hara, Seiji Miyoshi, 2005 .

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

Ryosuke Miyoshi, Kazuyuki Hara, Daigo Shii, 2020, 2020 IEEE International Conference on Big Data and Smart Computing (BigComp).

A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence

Ashraf A. M. Khalaf, Kazuyuki Hara, Kenji Nakayama, 1997, ICANN.

21pWB-1 Quasi-supervised learning and ensemble learning

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2007 .

Mutual learning using nonlinear perceptron

Kazuyuki Hara, Daisuke Saitoh, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

On-line learning through simple perceptron learning with a margin

Masato Okada, Kazuyuki Hara, M. Okada, 2004, Neural Networks.

A novel line search type algorithm avoidable of small local minima

Kazuyuki Hara, H. Nose, M. Ohwada, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

High resolution of multi-frequencies using multilayer neural networks trained by back-propagation algorithm

Kenji Nakayama, Kazuyuki Hara, 1993 .

A training method with small computation for classification

Kenji Nakayama, Kazuyuki Hara, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation pdf

Yuto Omae, Hirotaka Takahashi, Jun Toyotani, 2020, J. Adv. Comput. Intell. Intell. Informatics.

Ensemble Learning of Linear Perceptrons: On-Line Learning Theory

Masato Okada, Kazuyuki Hara, 2004 .

線形ウィークラーナーによるアンサンブル学習の汎化誤差の解析;線形ウィークラーナーによるアンサンブル学習の汎化誤差の解析;Analysis of Generalization Error of Ensemble Learning Through Linear Weak Learner

Masato Okada, Kazuyuki Hara, M. Okada, 2004 .

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

Masato Okada, Kazuo Okanoya, Kazuyuki Hara, 2012, ICANN.

Statistical Mechanics of Node-perturbation Learning with Noisy Baseline pdf

Masato Okada, Kazuyuki Hara, Kentaro Katahira, 2017, ArXiv.

Group Dropout Inspired by Ensemble Learning

Satoshi Suzuki, Hayaru Shouno, Kazuyuki Hara, 2016, ICONIP.

Online learning of a simple perceptron learning with margin

Masato Okada, Kazuyuki Hara, M. Okada, 2004, Systems and Computers in Japan.

Superresolution of multi-frequency signals using multilayer neural network supervised by backpropagation algorithm

Kenji Nakayama, Kazuyuki Hara, 1993 .

Statistical Mechanics of On-line Node-perturbation Learning

Masato Okada, Kazuo Okanoya, Kazuyuki Hara, 2011 .

Theoretical Analysis of Learning Speed in Gradient Descent Algorithm Replacing Derivative with Constant

Kazuyuki Hara, Kentaro Katahira, 2014 .

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

Kazuyuki Hara, Kentaro Katahira, 2014, ICANN.

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

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2008, ICONIP.

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

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2009, ICANN.

Analysis of ensemble learning using simple perceptrons based on online learning theory

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Online learning of a simple perceptron learning with margin

Masato Okada, Kazuyuki Hara, 2004 .

Analysis of Dropout in Online Learning pdf

Kazuyuki Hara, K. Hara, 2017, ArXiv.

Statistical Mechanics of On-line Ensemble Teacher Learning through a Novel Perceptron Learning Rule

Seiji Miyoshi, Kazuyuki Hara, S. Miyoshi, 2016, 1608.06562.

Ensemble-Teacher Learning through a Perceptron Rule with a Margin

Seiji Miyoshi, Kazuyuki Hara, S. Miyoshi, 2011, ICANN.

A learning method by stochastic connection weight update

Kazuyuki Hara, K. Nakayama, Y. Amakata, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Effects of activation functions in multilayer neural network for noisy pattern classification

Kenji Nakayama, Kazuyuki Hara, 1994 .

Analysis of Dropout Learning Regarded as Ensemble Learning

Hayaru Shouno, Kazuyuki Hara, Daisuke Saitoh, 2016, ICANN.

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

Yuto Omae, Hirotaka Takahashi, Jun Toyotani, 2020, ArXiv.

Analysis of function of rectified linear unit used in deep learning

Hayaru Shouno, Kazuyuki Hara, Daisuke Saitoh, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Mutual Learning Using Nonlinear Perceptron

Kazuyuki Hara, Daisuke Saitoh, 2015, J. Artif. Intell. Soft Comput. Res..

On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin

Seiji Miyoshi, Kazuyuki Hara, Katsuya Ono, 2010, ICANN.

Analysis of ensemble learning using simple perceptrons based on online learning theory.

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2005 .

Statistical Mechanics of On-Line Mutual Learning with Many Linear Perceptrons

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2009 .

Training Data Selection Method for Generalization by Multilayer Neural Networks

Kenji Nakayama, Kazuyuki Hara, 1998 .

Analysis of Ensemble Learning Using Simple Perceptrons Based on Online Learning Theory

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2005 .

Comparison of activation functions in multilayer neural network for pattern classification

Kazuyuki Hara, K. Nakayamma, K. Hara, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

On-line learning through simple perceptron with a margin

Masato Okada, Kazuyuki Hara, 2003 .