In this paper, we present a new strategy for providing flexibility in hard real-time systems. This approach, based on dual priorities, retains the offline guarantees afforded to...
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
This demonstration will show the application of a unique approach to collecting and analyzing usability data from the users of Web sites and software applications. The NetRaker Su...
The primary objective of a knowledge-based system (KBS) is to use stored knowledge to provide support for decision-making activities. Empirical studies identify improvements in de...
In this paper, we present a method for data classification with application to car/non-car objects. We first developed a sample based car/non-car maximal mutual information low di...