99 search results - page 1 / 20 » Using synthetic data safely in classification |
DRR
2009
13 years 2 months ago
2009
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
CCIA
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. This paper deals with the characterization of data complexity and the relationship with the classification accuracy. We study three dimensions of data complexity: the len...
PACS
2004
Springer
13 years 10 months ago
2004
Springer
Management of power in data centers is driven by the need to not exceed circuit capacity. The methods employed in the oversight of these power circuits are typically static and ad...
ICCS
2004
Springer
13 years 10 months ago
2004
Springer
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...