Early Stopping—But When?

Prechelt, L. Early Stopping—But When?. Lecture Notes in Computer Science.

Type

Book chapter

Intellectual base

Review or monograph

DOI

10.1007/3-540-49430-8_3

ISBN

9783540653110

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/3-540-49430-8_3

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Mechanisms

• Model Training Divergence Monitor
  • Its strength is turning a doomed run into an early, cheap stop

    This sourceIn G. B. Orr & K.-R. Müller (eds.), Neural Networks: Tricks of the Trade, Lecture Notes in Computer Science 1524, 55–69 (1998). Uses validation trends to detect overfitting and select an early-stopping criterion that trades training time against generalization.

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