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Cross-Validation in Neural Ensembles by Malim Muhammad Siregar is a document available to read on EtoBox.

What is Cross-Validation in Neural Ensembles about?

The document discusses using neural network ensembles (committees of neural networks) to improve accuracy and estimate generalization error. It shows that the "ambiguity" or disagreement among networks on unlabeled data relates to generalization error, allowing it to be estimated without labels. Cross-validating networks on different subsets of data can increase ambiguity and potentially decrease generalization error compared to averaging networks. Experiments on a square wave function show this approach wo

Author

Malim Muhammad Siregar

Language

EN