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...

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...

correctly. The problem of early stopping is not just limited to researcher misconduct. There is often pressure to stop early if the cost of collecting...

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 thought is a term in Zen referring to the achievement of the mental state of samādhi, where the normal mental chatter slows and then stops for...

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....