1416 search results - page 63 / 284 » Optimal feature selection for support vector machines |
153
Voted
SYNASC
2006
IEEE
15 years 10 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
132
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KDD
2004
ACM
15 years 9 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
166
Voted
IDEAL
2010
Springer
15 years 1 months ago
2010
Springer
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
177
Voted
TNN
2008
15 years 4 months ago
2008
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
122
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...