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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 7 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ESANN
2007
15 years 8 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
IJHPCA
2006
122views more  IJHPCA 2006»
15 years 6 months ago
A New Hardware Monitor Design to Measure Data Structure-Specific Cache Eviction Information
In this paper, we propose a hardware performance monitor that provides support not only for measuring cache misses and the addresses associated with them, but also for determining...
Bryan R. Buck, Jeffrey K. Hollingsworth
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
16 years 19 days ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li
PAKDD
2009
ACM
89views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Ch...