Due to the rapidly growing speed and the decreasing size of gates in modern chips, the probability of faults caused by the production process grows. Already small variations lead ...
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Many important combinatorial optimization problems can be expressed as constraint satisfaction problems with soft constraints. When problems are too difficult to be solved exactly,...
Abstract—We study the problem of dynamic resource allocation to clustered Web applications. We extend application server middleware with the ability to automatically decide the s...
David Carrera, Malgorzata Steinder, Ian Whalley, J...