Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
— Recent investigations into the pricing of multiclass loss networks have shown that static prices are optimal in the asymptotic regime of many small sources. These results sugge...
Much excitement has been generated by the success of stochastic local search procedures at finding solutions to large, very hard satisfiability problems. Many of the problems on wh...