We propose a design theory that tackles dynamic complexity in the design for Information Infrastructures (IIs) defined as a shared, open, heterogeneous and evolving socio-technica...
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
The administration of heterogeneous networks with many devices is a tedious and time-consuming task. Today’s approaches only provide static configuration files and make the add...
This paper presents personal networks, which integrate a VPN and the per-VPN execution environments of the hosts included in the VPN. The key point is that each execution environm...
Kenichi Kourai, Toshio Hirotsu, Koji Sato, Osamu A...
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...