Abstract: Machine learning, especially deep neural networks, has developed rapidly in fields, including computer vision, speech recognition, and reinforcement learning. Although minibatch stochastic ...

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: A dynamic event-based optimal learning scheme is provided in the article for nonlinear systems subject to constrained inputs and stochastic disturbances. An actor-critic structure is ...