On-line independent support vector machines

Support vector machines (SVMs) are one of the most successful algorithms for classification. However, due to their space and time requirements, they are not suitable for on-line learning, that is, when presented with an endless stream of training observations.


Published in:
Pattern Recognition, 43, 1402-1412
Year:
2010
Keywords:
Laboratories:




 Record created 2011-12-16, last modified 2018-12-03


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