Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Multi-agent systems are an attractive approach to modeling systems of interacting entities, but in some cases mathematical models of these systems can offer complementary benefits...
We initiate the study of unique group signature such that signatures of the same message by the same user will always have a large common component (i.e., unique identifier). It ...
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
The emergence of the SCORM specification has shed a light toward standardization of e-learning which makes the reusability and interoperability of learning resources feasible. How...