Despite much research in the area of wireless sensor networks in recent years, the programming of sensor nodes is still time-consuming and tedious. A new paradigm which seems to b...
Christoph Reinke, Nils Hoeller, Jana Neumann, Sven...
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
Scheduling strategies for parallel and distributed computing have mostly been oriented toward performance, while striving to achieve some notion of fairness. With the increase in ...
Darin England, Jon B. Weissman, Jayashree Sadagopa...