Knowledge extraction from data volumes of ever increasing size requires ever more flexible tools to facilitate interactive query. Interactivity enables real-time hypothesis testin...
Kenny Gruchalla, Mark Rast, Elizabeth Bradley, Joh...
This research explores any potential for an on-chip cache compression which can reduce not only cache miss ratio but also miss penalty, if main memory is also managed in compresse...
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Background: Motivated by a biomedical database set up by our group, we aimed to develop a generic database front-end with embedded knowledge discovery and analysis features. A maj...
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...