Abstract— This work addresses mission planning for autonomous underwater gliders based on predictions of an uncertain, time-varying current eld. Glider submersibles are highly se...
David R. Thompson, Steve Chien, Yi Chao, Peggy Li,...
We study online learnability of a wide class of problems, extending the results of [26] to general notions of performance measure well beyond external regret. Our framework simult...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Weather visualization is a difficult problem because it comprises volumetric multi-field data and traditional surface-based approaches obscure details of the complex three-dimen...
Kirk Riley, David S. Ebert, Charles D. Hansen, Jas...
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...