Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
— We propose a general family of MAC scheduling algorithms that achieve any rate-point on a uniform discretelattice within the throughput-region (i.e., lattice-throughputoptimal)...
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Domain-partition (DP) model is a general model for reliability maximization problem under given redundancy. In this paper, an improved DP model is used to formulate a reconfigurati...
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...