We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
—Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are us...
— Device scaling and large integration increase the vulnerability of microprocessors to transient errors. One of the structures where errors can be most harmful is the register ...
Sensor networks have been used in many applications such as health monitoring, structural monitoring, transportation networks, weather prediction, and border security. In most of ...
—There is increasing interest in analyzing networks of all types including social, biological, sensor, computer, and transportation networks. Broadly speaking, we may be interest...