Support Vector Machines (SVMs) are powerful supervised learning models whose predictive performance depends critically on the choice of hyperparameters, notably the regularisation constant (C) and ...

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.