28 citations · 73 across the 12 of their papers we have counts for
12 papers
Exact equality of the MSEs for two types of nonlinear adaptive systems: Saturation and dead-zone types
Seiji Miyoshi, Yua Yamaguchi
Adaptive signal processing systems, commonly utilized in applications such as active noise control and acoustic echo cancellation, often encompass nonlinearities due to hardware co…
Statistical-mechanical analysis of adaptive filter with clipping saturation-type nonlinearity
Seiji Miyoshi
In most practical adaptive signal processing systems, e.g., active noise control, active vibration control, and acoustic echo cancellation, substantial nonlinearities that cannot b…
Statistical Mechanics of On-line Ensemble Teacher Learning through a Novel Perceptron Learning Rule
Kazuyuki Hara, Seiji Miyoshi
In ensemble teacher learning, ensemble teachers have only uncertain information about the true teacher, and this information is given by an ensemble consisting of an infinite numbe…
Statistical Mechanical Study on a Neural Network Model with Time Dependent Interactions
T. Uezu, K. Abe, S. Miyoshi +1
We study a neural network model in which both neurons and synaptic interactions evolve in time simultaneously. The time evolution of synaptic interactions is described by a Langevi…
Effect of Slow Switching in On-line Learning for Ensemble Teachers
Seiji Miyoshi, Masato Okada
We have analyzed the generalization performance of a student which slowly switches ensemble teachers. By calculating the generalization error analytically using statistical mechani…
Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher
Masahiro Urakami, Seiji Miyoshi, Masato Okada
In the framework of on-line learning, a learning machine might move around a teacher due to the differences in structures or output functions between the teacher and the learning m…