This paper presents our experience mapping OpenMP parallel programming model to the IBM Cyclops-64 (C64) architecture. The C64 employs a many-core-on-a-chip design that integrates...
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
In the research described here, we have constructed at tightly coupled set of methods for monitoring, steering, and applying visual analysis to large scale simulations. This work ...
Yves Jean, Thomas Kindler, William Ribarsky, Weimi...
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...