Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
The most commonly used request processing model in multithreaded web servers is thread-per-request, in which an individual thread is bound to serve each web request. However, with...
zation is a well-known method of abstracting physical resources and of separating the manipulation and use of logical resources from their underlying implementation. We have used ...
John K. Edwards, Daniel Ellard, Craig Everhart, Ro...
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...
— The design trend towards CMPs has made the simulation of multiprocessor systems a necessity and has also made multiprocessor systems widely available. While a serial multiproce...