The 'K' in K-fold Cross Validation
By Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella. The European Symposium on Artificial Neural Networks, 2012
367 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c19aefe95fc0c120af1f8fad161f640a7f76edae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Anca M. Hanea
- Luca Oneto
- Bruce G. Marcot
- Davide Anguita
- Andrea Coraddu
- A. Ghio
- S. Savio
- M. Figari
Citations in the corpus
- What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? (2020, background): “We use K-fold as a synonym for all terms.”
- Machine learning approaches for improving condition-based maintenance of naval propulsion plants (2016, background): “It is worth underlining that k itself could be considered as a hyperparameter;(65) however, in practice, k=5, 10 or 20 represent feasible choices in the largest part of applications.(65,66) The KCV procedures for RLS and SVR are presented in Algorithms 1 and 2, respectively; they only differ in the ”