15 citations · 31 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Analysis of ensemble learning using simple perceptrons based on online learning theory
Seiji Miyoshi, Kazuyuki Hara, Masato Okada
Ensemble learning of nonlinear perceptrons, which determine their outputs by sign functions, is discussed within the framework of online learning and statistical mechanics. One…
Storage Capacity Diverges with Synaptic Efficiency in an Associative Memory Model with Synaptic Delay and Pruning
Seiji Miyoshi, Masato Okada
It is known that storage capacity per synapse increases by synaptic pruning in the case of a correlation-type associative memory model. However, the storage capacity of the entire…
Associative Memory by Recurrent Neural Networks with Delay Elements
Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada
The synapses of real neural systems seem to have delays. Therefore, it is worthwhile to analyze associative memory models with delayed synapses. Thus, a sequential associative memo…