During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Many of today’s military services and applications run on geographically distributed sites and need to be tested and evaluated under realistic scenarios with many unpredictable ...
Reliable multicast communication is important in large-scale distributed applications. For example, reliable multicast is used to transmit terrain and environmental updates in dis...
Hugh W. Holbrook, Sandeep K. Singhal, David R. Che...
Industry vendors hesitate to disseminate proprietary applications to academia and third party vendors. By consequence, the benchmarking process is typically driven by standardized...
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...