— Automated DNA sequencing produces a large amount of raw DNA sequence data that then needs to be classified, organized, and annotation. One major application is the comparison o...
Guillermo Tonsmann, David D. Pollock, Wanjun Gu, T...
This paper considers importance sampling as a tool for rare-event simulation. The focus is on estimating the probability of overflow in the downstream queue of a Jacksonian two-n...
Denis I. Miretskiy, Werner R. W. Scheinhardt, Mich...
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Communication latencies within critical sections constitute a major bottleneck in some classes of emerging parallel workloads. In this paper, we argue for the use of Inferentially...
A cooperative database allows the user to specify approximate or vague query conditions. A vague query requires the database system to rank the retrieved answers according to thei...