Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Although solid models play a central role in modern CAD systems, 2D CAD systems are still commonly used for designing products without complex curved faces. Therefore, an importan...
Decentralized information flow control (DIFC) is a promising model for writing programs with powerful, end-to-end security guarantees. Current DIFC systems that run on commodity ...
Indrajit Roy, Donald E. Porter, Michael D. Bond, K...
A common computational model in distributed embedded systems is that the nodes exchange signals via a network. Most often a signal represents the state of some physical device and...
—Although layered streaming in heterogeneous peer-to-peer networks has drawn great interest in recent years, there’s still a lack of systematical studies on its data scheduling...