Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Research on TCP performance relies either on simulation programs, which run on a single machine, or on the use of real testbeds, where different machines represent different netwo...
Carlo Caini, Rosario Firrincieli, Renzo Davoli, Da...
—High-end machines at modern HPC centers are constantly undergoing hardware and system software upgrades – necessitating frequent rebuilds of application codes. The number of p...
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...