Search Results for "learning classifier system"

Welcome to the Volunteer-Based System for Research on the Internet! This system is designed to provide detail data about applications used in the Internet. This information can be used for: - obtaining the knowledge which applications are most frequently used in the network - providing the users some basic statistics about their Internet connection usage (for example for which kinds of applications their connection is used the most) - creating scientific profiles of traffic generated by different applications or different groups of applications - creating a traffic generator, to imitate traffic generated by particular applications, or to imitate the real traffic in the network - implementing smart assessment of QoS in the network at the users' level and in the core of the network - obtaining precise data needed to train Machine Learning Algorithms - many more cases :-)

TNV visualizes pcap data to graphically depict network packets, links, and ports for network traffic analysis to facilitate learning what constitutes 'normal' behavior, investigating security events, or network troubleshooting.

Virtual interactive experiments (vexp) is a framework to promote the developmentand use of cooperative e-learning experiments over the internet. Interactive scientific experiments which can be controlled by various users synchronously.