In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Among the many techniques for system-level power management, it is not currently possible to guarantee timing constraints and have a comprehensive system model at the same time. S...
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
ic copy available at: http://ssrn.com/abstract=1115410 Inventory Systems with Stochastic Demand and Supply: Properties and Approximations Amanda J. Schmitt Center for Transportatio...
Amanda J. Schmitt, Lawrence V. Snyder, Zuo-Jun Max...