We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Despite the proven success of using computer video games as a context for teaching introductory programming (CS1/2) courses, barriers including the lack of adoptable materials, re...
Cinnamon Hillyard, Robin Angotti, Michael Panitz, ...
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
In current sensor networks, sensor nodes are capable of not only measuring real world phenomena, but also storing, processing and transferring these measurements. Many data dissem...
In this paper we propose a novel architecture, CARD, for resource discovery in large scale MANets that may scale up to thousands of nodes. Our mechanism is suitable for resource d...
Ahmed Helmy, Saurabh Garg, Priyatham Pamu, Nitin N...