9 citations · 19 across the 7 of their papers we have counts for
24 papers · 1 filter
Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5
Shin Kamada, Takumi Ichimura, Toshihide Harada
Deep Learning has a hierarchical network architecture to represent the complicated feature of input patterns. The adaptive structural learning method of Deep Belief Network (DBN) h…
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control
Shin Kamada, Takumi Ichimura
Recently, the market on deep learning including not only software but also hardware is developing rapidly. Big data is collected through IoT devices and the industry world will ana…
Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data
Takumi Ichimura, Shin Kamada
Deep Learning has the hierarchical network architecture to represent the complicated features of input patterns. Such architecture is well known to represent higher learning capabi…
Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement
Shin Kamada, Takumi Ichimura
Recently, Deep Learning has been applied in the techniques of artificial intelligence. Especially, Deep Learning performed good results in the field of image recognition. Most new…
A Recommendation System of Grants to Acquire External Funds
Shin Kamada, Takumi Ichimura, Takanobu Watanabe
The recommendation system of the competitive grants to university researchers by using the Grants-in-Aid for Scientific Research (KAKEN) keywords has been developed. The system can…
The Recommendation System to SNS Community for Tourists by Using Altruistic Behaviors
Takumi Ichimura, Takuya Uemoto, Shin Kamada
We have already developed the recommendation system of sightseeing information on SNS by using smartphone based user participatory sensing system. The system can post the attractiv…