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.
Lecturer: Jason Li (jmli@cs). TA: Meredith Pan (shiqip@andrew). Office hours: Meredith Thursdays 4-5pm, Gates 5th floor commons (subject to change); Jason Tuesdays 2-3pm, Gates 5011 Contacting us: ...
Least Squares (LS) — projected gradient descent on the data-fidelity term (baseline) TV-PDHG — Total Variation regularisation solved via the Primal-Dual Hybrid Gradient algorithm of Chambolle & Pock ...
To fully reproduce our experiments, please refer to ReproduceExps.md. To download our training data and reproduce the plots in the paper, please refer to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results