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ICML
2008
IEEE
14 years 5 months ago
Stopping conditions for exact computation of leave-one-out error in support vector machines
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
Klaus-Robert Müller, Pavel Laskov, Vojtech Fr...
CSDA
2007
99views more  CSDA 2007»
13 years 4 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 4 months ago
Resampling methods for parameter-free and robust feature selection with mutual information
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time...
Damien François, Fabrice Rossi, Vincent Wer...
NN
2000
Springer
161views Neural Networks» more  NN 2000»
13 years 4 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
FPL
2006
Springer
111views Hardware» more  FPL 2006»
13 years 8 months ago
A-B Nodes Classification for Power Estimation
In this paper, an optimization for the classical statistical power estimation method is proposed. This technique is applied to the individual nodes. The optimization is based on t...
Elias Todorovich, Eduardo I. Boemo