657 search results - page 25 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
136
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PKDD
2010
Springer
15 years 21 days ago
2010
Springer
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
125
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
104
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IWANN
1999
Springer
15 years 6 months ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
132
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CDC
2009
IEEE
15 years 3 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
130
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JMLR
2008
15 years 2 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...