This paper uses trace-driven simulation to study the unfairness properties of Web server scheduling strategies, such as Processor Sharing (PS) and Shortest Remaining Processing Ti...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
In this work, we demonstrate examples about uses of practical image processing techniques over a new interpretation of power quality event data. Power quality event data are 1D da...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...