We analyze various stochastic processes for generating permutations almost uniformly at random in distributed and parallel systems. All our protocols are simple, elegant and are b...
Abstract. The problem of repositioning mobile C-arms to defined target locations during surgical procedures currently requires not only time, but also skill and additional radiati...
Administration of certain drugs at a steady rate results in deterioration of drug effect, also known as drug tolerance. Periodic delivery is an attractive option for minimizing to...
Subbarao Varigonda, Tryphon T. Georgiou, Ronald A....
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...