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.
This repository provides the official implementation of the algorithms described in the paper "Small-Sample Independence Testing with Blum–Kiefer–Rosenblatt's R".
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