We propose combining supervised and unsupervised algorithms in order to improve the performance of multiple-input multipleoutputdigitalcommunication systemswhich makeuseofdecision-...
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Stimulated by the success of management innovation in the manufacturing industry – culminating in lean production, many homebuilders attempt to model the construction process on...
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...