This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
Location-centric storage (LCS) is envisioned as a promising scheme for robust and user-friendly ondemand data storage in networking environments such as the roadway sensor networks...
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
— Despite the automation in many domains, network management still requires a lot of manual interaction. With the ongoing rapid growth of the Internet and the number of connected...