Reinforcement learning is a machine learning answer to the optimal control problem. It consists in learning an optimal control policy through interactions with the system to be controlled, the quality of this policy being quantified by the so-called value function. An important subtopic of reinforcement learning is to compute an approximation of this value function when the system is too large ...

Academic and corporate communities have been dedicating considerable eeort to World Wide Web caching, When correctly deployed, Web caching systems can lead to significant bandwidth savings, server load balancing, perceived network latency reduction, and higher content availability. In this paper, we survey state-of-the-art caching designs and implementations. We present a taxonomy of architec-t...

West Virginia ranks second nationally in population ≥ 65 years old placing our state at greater risk for osteoporosis and fracture. The gold standard for detecting osteoporosis is dual X-ray absorptiometry (DXA), yet over half of West Virginia's counties do not have this machine. Due to access barriers, a validated phone-administered fracture prediction tool would be beneficial for osteoporosis...

Although they began as a form of entertainment, virtual worlds are increasingly attracting attention in educational and business circles. Individuals, universities and companies are looking to create their own virtual worlds. However, creating virtual worlds from scratch is very expensive. Fortunately, there is a growing number of tools available for virtual world creation. Each of them offers ...

Information Technology (IT) has seen dramatic improvements in the recent past, and laid foundations in the area of Virtual Reality (VR) technology. VR applications have branched out into numerous domains from education and entertainment to critical applications like Healthcare enabling virtual surgery, telemedicine and further medical applications. One of the key technologies in VR in recent ti...