Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
ct Network security is the complicated field of controlling access within a computer network. One of the difficulties in network security is detecting the presence, severity, and ...
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
Autonomic systems are typically distributed, complex and concurrent systems, comprised of multiple interacting autonomic elements that often exhibit emergent behavior. Design and ...
Radovan Cervenka, Dominic A. P. Greenwood, Ivan Tr...
In the near future, the majority of personal computers are expected to have several processing units. This is referred to as Core Multiprocessing (CMP). Furthermore, each of the c...