In machine learning, early stopping is a form of regularization used to avoid overfitting when training a learner with an iterative method, such as gradient...

In mathematics, the theory of optimal stopping or early stopping is concerned with the problem of choosing a time to take a particular action, in order...

constant set of hyperparameters for the whole training. A class of early stopping-based hyperparameter optimization algorithms is purpose built for large...

regularization is all other forms of regularization. This includes, for example, early stopping, using a robust loss function, and discarding outliers. Implicit regularization...

network). Validation data sets can be used for regularization by early stopping (stopping training when the error on the validation data set increases, as...

Stopping by Woods on a Snowy Evening Whose woods these are I think I know. His house is in the village though; He will not see me stopping here To watch...

Stopping power is the ability of a weapon – typically a ranged weapon such as a firearm – to cause a target (human or animal) to be incapacitated or immobilized...

A stopping house was a kind of rural lodging used in the Pacific Northwest during the late 19th and early 20th centuries by fur traders and pioneers....

Shakespeare by studying the proportion of end-stopping to enjambment, the former being more typical of Shakespeare's early plays, the latter a feature of his later...

parallel training, multiple loss functions, regularization, bagging, and early stopping. A major difference between the two lies in the construction of trees...