There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
— We consider feed-forward packet switched networks with fixed routing and random congestion losses. Users of the network are assumed to be greedy in the sense that each user in...
We introduce and study the donation center location problem, which has an additional application in network testing and may also be of independent interest as a general graph-theor...
— This paper is interested in reward maximization of periodic real-time tasks under a given energy constraint, where the reward received depends on how much computation a task ru...