We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
In the last decade, there has been an explosion of online commercial activity enabled by the World Wide Web. An electronic marketplace (e-market) provides an online method to perf...
Adriano M. Pereira, Arlei Silva, Wagner Meira Jr.,...
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
A large number of user requests execute (often concurrently) within a server system. A single request may exhibit fluctuating hardware characteristics (such as instruction comple...