Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
This paper investigates the scheduling of mixed-parallel applications, which exhibit both task and data parallelism, in advance reservations settings. Both the problem of minimizi...
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
In the analysis of cryptographic protocols, a treacherous set of terms is one from which an intruder can get access to what was intended to be secret, by adding on to the top of a ...
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...