Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
Abstract—It may not be feasible for sensor networks monitoring nature and inaccessible geographical regions to include powered sinks with Internet connections. We consider the sc...
The development of technologies to address machine translation and distillation of multilingual broadcast data depends heavily on the collection of large volumes of material from ...
We present the Stack Trace Analysis Tool (STAT) to aid in debugging extreme-scale applications. STAT can reduce problem exploration spaces from thousands of processes to a few by ...
Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supins...