We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
As networked virtual environments gain increasing interest and acceptance in the field of Internet applications, a lot of effort is drawn in the optimization of their performance, ...
This paper describes the design, implementation and performance of an open, high performance, dynamically extensible router under development at Washington University in St. Louis...
Fred Kuhns, John D. DeHart, Anshul Kantawala, Ralp...
— A packet generator and network traffic capture system has been implemented on the NetFPGA. The NetFPGA is an open networking platform accelerator that enables rapid developmen...
G. Adam Covington, Glen Gibb, John W. Lockwood, Ni...