Many scientific applications need to stage large volumes of files from one set of machines to another set of machines in a wide-area network. Efficient execution of such data t...
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
— For the collaborative control of a team of robots, a set of well-suited high-level control algorithms, especially for path planning and measurement scheduling, is essential. Th...
Histograms are used extensively for selectivity estimation and approximate query processing. Workloadaware dynamic histograms can self-tune itself based on query feedback without ...
Jizhou Luo, Xiaofang Zhou, Yu Zhang, Heng Tao Shen...
This paper investigates two integer linear programming models that integrate requirement scheduling into software release planning. The first model can schedule the development of ...
C. Li, J. M. van den Akker, Sjaak Brinkkemper, Gui...