Efficient training of support vector machines and their hyperparameters / Charl Johannes van Heerden
As digital computers become increasingly powerful and ubiquitous, there is a growing need for pattern-recognition algorithms that can handle very large data sets. Support vector machines (SVMs), which are generally viewed as the most accurate classifiers for generalpurpose pattern recognition, are s...
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| Language: | en |
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2014
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| Online Access: | http://hdl.handle.net/10394/11757 |
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