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» Quantile Sensitivity Estimation
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JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
WSC
2004
13 years 9 months ago
Sensitivity Analysis for Transient Single Server Queuing Models Using an Interpolation Approach
Simulation is an essential tool for performance evaluation of many practical systems where planners typically want to know how the system will perform under various parameter sett...
Mohamed A. Ahmed, Talal M. Alkhamis
BMCBI
2010
80views more  BMCBI 2010»
13 years 8 months ago
Power and sample size estimation in microarray studies
Background: Before conducting a microarray experiment, one important issue that needs to be determined is the number of arrays required in order to have adequate power to identify...
Wei-Jiun Lin, Huey-miin Hsueh, James J. Chen
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
14 years 2 months ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo
RTAS
2005
IEEE
14 years 1 months ago
Applying Sensitivity Analysis in Real-Time Distributed Systems
During real-world design of embedded real-time systems, it cannot be expected that all performance data required for scheduling analysis is fully available up front. In such situa...
Razvan Racu, Marek Jersak, Rolf Ernst