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.

Abstract: It has been observed that the performances of many high-dimensional estimation problems are universal with respect to underlying sensing (or design) matrices. Specifically, matrices with ...

Abstract: With the emergence of transformer-based feature extractors, the effect of image quality assessment (IQA) has improved, but its interpretability is limited. In addition, images repaired by ...