方法证据记录
Support Vector Machine
The Support Vector Machine, introduced by Corinna Cortes and Vladimir Vapnik in 1995, is a classifier that finds the optimal separating hyperplane between classes in a high-dimensional space. It chooses the boundary that leaves the widest possible margin to the nearest training points, which makes its decisions robust on new data.
源记录
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Support Vector Machine (SVM — Classification)
分类方法记录 · ml-model / machine-learning
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