Seiji Miyoshi

发表

A Theoretical Analysis of Semi-supervised Learning

Hidetaka Ito, Takashi Fujii, Seiji Miyoshi, 2016, ICONIP.

Convergence Properties of Perceptron Learning with Noisy Teacher

Kazushi Ikeda, Seiji Miyoshi, Hiroaki Hanzawa, 2012, IScIDE.

21pWB-1 Quasi-supervised learning and ensemble learning

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2007 .

Conditions for Convergence of the Normalized LMS Algorithm in Neural Learning.

Kazushi Ikeda, Kenji Nakayama, Seiji Miyoshi, 1997 .

Statistical-Mechanical Analysis of the Second-Order Adaptive Volterra Filter

Yoshinobu Kajikawa, Kimiko Motonaka, Seiji Miyoshi, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Theoretical analysis of LMS algorithm for time-varying unknown system

Yoshinobu Kajikawa, Seiji Miyoshi, Norihiro Ishibushi, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Associative memory by neural networks with delays and pruning

Masato Okada, Seiji Miyoshi, 2003 .

Statistical-mechanical analysis of the FXLMS algorithm for multiple-channel active noise control

Yoshinobu Kajikawa, Seiji Miyoshi, Tomoki Murata, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Online Learning through Moving Ensemble Teachers — An Exact Solution of a Linear Model —

Seiji Miyoshi, Takahiro Nabetani, S. Miyoshi, 2014 .

Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies

Kazushi Ikeda, Kenji Nakayama, Seiji Miyoshi, 1998, ICONIP.

Evaluation of Portability and Design Diversity of FabCache

Takahiro Sasaki, Yuki Fukazawa, Toshio Kondo, 2016 .

Statistical-Mechanical Analysis of Multi-channel Active Noise Control

Seiji Miyoshi, Tomoki Murata, Yoshinobu Kajikawa, 2018 .

Statistical-mechanical analysis of the FXLMS algorithm with nonwhite reference signals

Yoshinobu Kajikawa, Seiji Miyoshi, Y. Kajikawa, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

FPGA Realization of Simultaneous Perturbation PSO

Yutaka Maeda, Takahiro Yamada, Seiji Miyoshi, 2011 .

Statistical-Mechanical Analysis on Adaptation Rate and Its Measures of Active Noise Control

Yoshinobu Kajikawa, Kimiko Motonaka, Seiji Miyoshi, 2018 .

An Architectural Framework of Snoopy Interconnection for Heterogeneous Cache Systems

Takahiro Sasaki, Yuki Fukazawa, Toshio Kondo, 2015, 2015 Third International Symposium on Computing and Networking (CANDAR).

Hand sign recognition system based on hybrid network classifier

Yutaka Maeda, Seiji Miyoshi, Hiroomi Hikawa, 2009, 2009 International Joint Conference on Neural Networks.

Associative memory by recurrent neural networks with delay elements

Masato Okada, Seiji Miyoshi, Hiro-Fumi Yanai, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Connecting PM and MAP in Bayesian spectral deconvolution by extending exchange Monte Carlo method and using multiple data sets

Kimiko Motonaka, Seiji Miyoshi, S. Miyoshi, 2019, Neural Networks.

A recurrent neural network with serial delay elements for memorizing limit cycles

Kenji Nakayama, Seiji Miyoshi, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Statistical Mechanical Analysis of Active Noise Control with Time-varying Primary Path

Yoshinobu Kajikawa, Seiji Miyoshi, Nobuhiro Egawa, 2015 .

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

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

Estimation of Distribution Algorithm Incorporating Switching

Yoshiko Hanada, Seiji Miyoshi, Kenji Tsuchie, 2010, IEICE Trans. Inf. Syst..

Bayesian image super-resolution of large image with a compound MRF and estimating registration parameters

Seiji Miyoshi, Toshiki Kinoshita, 2012 .

Theoretical discussion of the filtered-X LMS algorithm based on statistical mechanical analysis

Yoshinobu Kajikawa, Seiji Miyoshi, Y. Kajikawa, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

A theory of the FXLMS algorithm based on statistical-mechanical method

Yoshinobu Kajikawa, Seiji Miyoshi, Y. Kajikawa, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

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).

A Theoretical Analysis of On-Line Learning Using Correlated Examples

Seiji Miyoshi, Masafumi Matsuno, Shingo Sakurai, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Visual feedback robot system via fuzzy control

Yutaka Maeda, Seiji Miyoshi, Hiroomi Hikawa, 2010, Proceedings of SICE Annual Conference 2010.

Statistical Mechanics of Adaptive Weight Perturbation Learning

Yutaka Maeda, Ryosuke Miyoshi, Seiji Miyoshi, 2011, IEICE Trans. Inf. Syst..

Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers pdf

Masato Okada, Seiji Miyoshi, Hideto Utsumi, 2007, ArXiv.

Statistical Mechanics of Time-Domain Ensemble Learning

Masato Okada, Seiji Miyoshi, Tatsuya Uezu, 2006 .

Pulse coupled oscillator with learning capability using simultaneous perturbation and its FPAA implementation

Yutaka Maeda, Seiji Miyoshi, Hiroomi Hikawa, 2009, 2009 ICCAS-SICE.

On simultaneous perturbation particle swarm optimization

Yutaka Maeda, Naoto Matsushita, Seiji Miyoshi, 2006, 2009 IEEE Congress on Evolutionary Computation.

Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation

Yutaka Maeda, Seiji Miyoshi, Takahiro Yamada, 2011, ICANN.

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

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

"Centennial of Naval Aviation" NAS Oceana Airshow 2011

Seiji Miyoshi, 2011 .

Ensemble-Teacher Learning through a Perceptron Rule with a Margin

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

Statistical-mechanical analysis of the FXLMS algorithm with actual primary path

Yoshinobu Kajikawa, Seiji Miyoshi, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Statistical Mechanics of On-Line Learning Using Correlated Examples

Seiji Miyoshi, Kento Nakao, Yuta Narukawa, 2011, IEICE Trans. Inf. Syst..

On automatic generation of VHDL code for self-organizing map

Yutaka Maeda, Seiji Miyoshi, Hiroomi Hikawa, 2009, 2009 International Joint Conference on Neural Networks.

Associative memory by recurrent neural networks with delay elements

Masato Okada, Seiji Miyoshi, Hiro-Fumi Yanai, 2004, Neural Networks.

Statistical Mechanical Analysis of Simultaneous Perturbation Learning

Yutaka Maeda, Seiji Miyoshi, Hiroomi Hikawa, 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Analysis of adaptation rate of the FXLMS algorithm

Yoshinobu Kajikawa, Kimiko Motonaka, Seiji Miyoshi, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Statistical-Mechanics Approach to Theoretical Analysis of the FXLMS Algorithm

Yoshinobu Kajikawa, Seiji Miyoshi, Y. Kajikawa, 2018, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Storage capacity diverges with synaptic efficiency in an associative memory model with synaptic delay and pruning

Masato Okada, Seiji Miyoshi, M. Okada, 2003, IEEE Transactions on Neural Networks.

Statistical Mechanics of Online Learning for Ensemble Teachers

Masato Okada, Seiji Miyoshi, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher

Kazushi Ikeda, Seiji Miyoshi, Hiroaki Hanzawa, 2018, Neural Networks.

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

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

Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher pdf

Masato Okada, Seiji Miyoshi, Masahiro Urakami, 2006, ArXiv.

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

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2005 .

Statistical-mechanical analysis of the FXLMS algorithm with time-varying primary path

Yoshinobu Kajikawa, Seiji Miyoshi, Nobuhiro Egawa, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

Analysis of the FXLMS algorithm with norm-constant time-varying primary path

Yoshinobu Kajikawa, Seiji Miyoshi, Norihiro Ishibushi, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Obstacle Avoidance using BVC for a Quadrotor

Kimiko Motonaka, Seiji Miyoshi, 2021, Journal of the Robotics Society of Japan.

Statistical-Mechanical Analysis of Adaptive Volterra Filter with the LMS Algorithm

Yoshinobu Kajikawa, Kimiko Motonaka, Seiji Miyoshi, 2021, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Statistical-mechanical analysis of adaptive filter with clipping saturation-type nonlinearity

Seiji Miyoshi, 2021 .

A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability

Yasuaki Kuroe, Yutaka Maeda, Kimiko Motonaka, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2009 .

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

Masato Okada, Seiji Miyoshi, Kazuyuki Hara, 2005 .