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FOCS
2010
IEEE
13 years 6 months ago
Boosting and Differential Privacy
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...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
ICSE
2008
IEEE-ACM
14 years 9 months ago
Are fit tables really talking?: a series of experiments to understand whether fit tables are useful during evolution tasks
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...
CF
2010
ACM
14 years 1 months ago
Interval-based models for run-time DVFS orchestration in superscalar processors
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...
Georgios Keramidas, Vasileios Spiliopoulos, Stefan...
RTSS
2000
IEEE
14 years 1 months ago
A User-Customizable Energy-Adaptive Combined Static/Dynamic Scheduler for Mobile Applications
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...
Trolan C. L. Ma, Kang G. Shin
SPAA
1997
ACM
14 years 1 months ago
A Localized Algorithm for Parallel Association Mining
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...