The effectiveness of information retrieval systems is measured by comparing performance on a common set of queries and documents. Significance tests are often used to evaluate the...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
The historical context surrounding the birth of the DARPA High Productivity Computing Systems (HPCS) program is important for understanding why federal government agencies launche...
Jack Dongarra, Robert Graybill, William Harrod, Ro...
Abstract— John von Neumann proposed his famous architecture in a context where hardware was very expensive and bulky. His goal was to maximize functionality with minimal hardware...
Etienne Bergeron, Xavier Saint-Mleux, Marc Feeley,...
There is a growing demand for web applications to provide fair service to the highly concurrent requests. In this paper, we present an approach to addressing this requirement. Bas...