— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
For many performance analysis problems, the ability to reason across traces is invaluable. However, due to non-determinism in the OS and virtual machines, even two identical runs ...
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
Abstract— Network monitoring and measurement is commonly regarded as an essential function for understanding, managing and improving the performance and security of network infra...
Abstract— In this paper, we study the performance of clientAccess Point (AP) association policies in IEEE 802.11 based WLANs. In many scenarios, clients have a choice of APs with...