We investigate ways in which an algorithm can improve its expected performance by fine-tuning itself automatically with respect to an arbitrary, unknown input distribution. We gi...
Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, ...
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
: Computational and data Grids couple geographically distributed resources such as high performance computers, workstations, clusters, and scientific instruments. Grid Workflows co...
David Abramson, Jagan Kommineni, John L. McGregor,...
Many real networks, including those in social, technological, and biological realms, are small-world networks. The two distinguishing characteristics of small-world networks are h...
This paper addresses the query performance issue for Relational OLAP (ROLAP) datacubes. We present a distributed multi-dimensional ROLAP indexing scheme which is practical to imple...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...