We study a queueing network where customers go through several stages of processing, with the class of a customer used to indicate the stage of processing. The customers are servic...
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Bin covering takes as input a list of items with sizes in (0 1) and places them into bins of unit demand so as to maximize the number of bins whose demand is satis ed. This is in ...
Highly efficient compression provides a promising approach to address the transmission and computation challenges imposed by moving object tracking applications on resource constra...
Rajib Kumar Rana, Wen Hu, Tim Wark, Chun Tung Chou
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...