The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
: Creation of rich, ontology-based metadata is one of the major challenges in developing the Semantic Web. Emerging applications utilizing semantic web techniques, such as semantic...
One approach to high-performance processing of massive data sets is to incorporate computation into storage systems. Previous work has shown that this active storage model is effe...
Rajiv Wickremesinghe, Jeffrey S. Chase, Jeffrey Sc...
Explosive increase in enduser computing on distributed systems requires that endusers develop application software by themselves. One solution is given as a formula of "a dom...
Developing a general component system for a statically typed, object-oriented language is a challenging design problem for two reasons. First, mutually recursive references across...