We consider prediction-model evaluation in the context of marketing-campaign planning. In order to evaluate and compare models with specific campaign objectives in mind, we need t...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...
: We initiate the study of a new measure of approximation. This measure compares the performance of an approximation algorithm to the random assignment algorithm. This is a useful ...
Benchmarks have been used in computer science to compare the performance of computer systems, information retrieval algorithms, databases, and many other technologies. The creatio...
Susan Elliott Sim, Steve M. Easterbrook, Richard C...
The recently proposed turbo-binning scheme is shown to be both efficient and optimal for uniform source Slepian-Wolf coding problem [1]. This paper studies the case when sources a...
This poster is a case study on the application of a novel programming model, called Concurrent Collections (CnC), to the implementation of an asynchronous-parallel algorithm for c...