Optimized opportunistic multicast scheduling (OMS) is studied for cellular networks, where the problem of efficiently transmitting a common set of fountain-encoded data from a sin...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Abstract To improve software quality, static or dynamic defect-detection tools accept programming rules as input and detect their violations in software as defects. As these progra...
The calculation of radial distribution functions (RDFs) from molecular dynamics trajectory data is a common and computationally expensive analysis task. The rate limiting step in ...
Multitenant data infrastructures for large cloud platforms hosting hundreds of thousands of applications face the challenge of serving applications characterized by small data foo...
Aaron J. Elmore, Sudipto Das, Divyakant Agrawal, A...