On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm

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The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learning task

Tatjana Eitrich, Bruno Lang

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AUSDM 2006 | Data Mining | Support Vector Machine | Working Set | Working Set Size |

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Added	20 Aug 2010
Updated	20 Aug 2010
Type	Conference
Year	2006
Where	AUSDM
Authors	Tatjana Eitrich, Bruno Lang

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On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm

AUSDM 2006 | Data Mining | Support Vector Machine | Working Set | Working Set Size |

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