We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
We consider a single-cell multiple-input multiple-output (MIMO) downlink channel where linear transmission and reception strategy is employed. The base station (BS) transmitter is...
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
The problem of merging two intransitive sorted sequences (that is, to generate a sorted total order without the transitive property) is considered. A cost-optimal parallel merging...
We address power minimization of earliest deadline first and ratemonotonic schedules by voltage and frequency scaling. We prove that the problems are NP-hard, and present (1+ ) f...