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GRC
2010
IEEE
13 years 5 months ago
A Comparative Study of Threshold-Based Feature Selection Techniques
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hu...
DSN
2006
IEEE
14 years 1 months ago
Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms
We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. A...
Alberto Avritzer, Andre B. Bondi, Michael Grottke,...
SIGIR
2006
ACM
14 years 1 months ago
Minimal test collections for retrieval evaluation
Accurate estimation of information retrieval evaluation metrics such as average precision require large sets of relevance judgments. Building sets large enough for evaluation of r...
Ben Carterette, James Allan, Ramesh K. Sitaraman
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
CCS
2007
ACM
14 years 1 months ago
Program obfuscation: a quantitative approach
Despite the recent advances in the theory underlying obfuscation, there still is a need to evaluate the quality of practical obfuscating transformations more quickly and easily. T...
Bertrand Anckaert, Matias Madou, Bjorn De Sutter, ...