This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Abstract— This paper presents a search-based, real-time adaptive solution to the multi-robot coordination problem in adversarial environments. By decomposing the global coordinat...
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
The execution of a complex task in any environment requires planning. Planning is the process of constructing an activity graph given by the current state of the system, a goal st...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...