—A number of analytical models exists that capture various properties of the BitTorrent protocol. However, until now virtually all of these models have been based on the assumpti...
Michel Meulpolder, Johan A. Pouwelse, Dick H. J. E...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
The major obstacle to use multicores for real-time applications is that we may not predict and provide any guarantee on real-time properties of embedded software on such platforms...
Abstract— The scale, reliability, and cost requirements of enterprise data centers require automation of center management. Examples include provisioning, scheduling, capacity pl...
Sandip Agarwala, Yuan Chen, Dejan S. Milojicic, Ka...