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...
Test-driven software development tackles the problem of operationally defining the features to be implemented by means of test cases. This approach was recently ported to the earl...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...
We develop two simple interval-based models for dynamic superscalar processors. These models allow us to: i) predict with great accuracy performance and power consumption under va...
In portable applications, the energy consumed by OS and application tasks primarily comes from DC battery source, which is limited and imposes an upper bound to the amount of time...
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...