In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
We develop a decision-theoretic method that yields approximate, low cost troubleshooting plans by making more relevant observations and devoting more time to generate a plan. The ...
The high competition among network providers places a demand for new ways to design network services with near zero development time, low cost, and high degrees of customization an...
: The scalability of large-scale networked virtual environments (NVEs) suchastoday's Massively Multiplayer Online Games (MMOGs) faces inherent limits imposed by the client-ser...
We study capacitated network flow problems with supplies and demands defined on a countably infinite collection of nodes having finite degree. This class of network flow models in...
H. Edwin Romeijn, Dushyant Sharma, Robert L. Smith