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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.
added by saturo, May 27, 2013
In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.
edited by saturo, May 27, 2013
linked by saturo, May 27, 2013
Support vector machines are supervised learning models used for classification and regression analysis.
edited by saturo, May 27, 2013
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