130 search results - page 5 / 26 » Diversified SVM Ensembles for Large Data Sets |
152
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EMO
2009
Springer
16 years 18 days ago
2009
Springer
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
197
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JMLR
2010
15 years 24 days ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
180
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
164
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ICIC
2009
Springer
16 years 17 days ago
2009
Springer
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
143
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FLAIRS
2006
15 years 7 months ago
2006
The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...