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ECML
2006
Springer
15 years 6 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
CIKM
2003
Springer
15 years 8 months ago
Building XML statistics for the hidden web
There have been several techniques proposed for building statistics for static XML data. However, very little work has been done in the area of building XML statistics for data so...
Ashraf Aboulnaga, Jeffrey F. Naughton
AAAI
2007
15 years 5 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
ESANN
2004
15 years 4 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
EUROSYS
2006
ACM
16 years 3 days ago
On the road to recovery: restoring data after disasters
—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under consider...
Kimberly Keeton, Dirk Beyer 0002, Ernesto Brau, Ar...