data augmentation and random initializations of weights. "This is really capturing the breadth of what there is today in ...

See Chapter 8, for an explanation and discussion of the merits of various AR(p) startup methods. The CLS, ULS, ML, and HL initializations can be performed by PROC MODEL. For AR(1) errors, these ...

Run an optimizer many times from randomized initializations to detect local traps. Underspecified: In a new application, it is not uncommon for a user to have redundant DVs. As a very simple ...

Current Publications • Jentzen A, Riekert A Strong overall error analysis for the training of artificial neural networks via random initializations. Communications ...

It operates as a regularizer, enhancing and streamlining the training process by reducing the network's dependence on ...

Current Publications • Jentzen A, Riekert A Strong overall error analysis for the training of artificial neural networks via random initializations. Communications ...