In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...
Random access memory (RAM) is tightly-constrained in many embedded systems. This is especially true for the least expensive, lowest-power embedded systems, such as sensor network ...
Although telepointers are valuable for supporting real-time collaboration, they are rarely seen in commercial groupware applications that run on the Internet. One reason for their...
Jeff Dyck, Carl Gutwin, Sriram Subramanian, Chris ...
Novel ubiquitous computing applications such as intelligent vehicles, smart buildings, and traffic management require special properties that traditional computing applications d...