—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
The advent of multicores has introduced new challenges for programmers to provide increased performance and software reliability. There has been significant interest in technique...
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
As we reach the limits of single-core computing, we are promised more and more cores in our systems. Modern architectures include many performance counters per core, but few or no...
Paul E. West, Yuval Peress, Gary S. Tyson, Sally A...
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...