Support vector machines (SVMs) constitute a class of supervised learning models designed to perform classification by constructing a decision boundary, or hyperplane, that optimally separates data ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
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