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Cited by 6
Best-Fit Learning Curve Model for the C4.5 Algorithm

LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks
Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn
https://doi.org/10.1007/978-3-031-26419-1_1
Book:  Lecture Notes in Computer Science (Machine Learning and Knowledge Discovery in Databases) Volume 13717 (2023), p. 3
Imbalanced Learning Based on Data-Partition and SMOTE
Huaping Guo, Jun Zhou, Chang-An Wu
https://doi.org/10.3390/info9090238
Journal:  Information Volume 9, Issue 9 (2018), p. 238
New models of classifier learning curves
Vincent Berthiaume
https://doi.org/10.1007/s43674-022-00040-0
Journal:  Advances in Computational Intelligence Volume 2, Issue 4 (2022)
Overview of Machine Learning Process Modelling
Boštjan Brumen, Aleš Černezel, Leon Bošnjak
https://doi.org/10.3390/e23091123
Journal:  Entropy Volume 23, Issue 9 (2021), p. 1123
Sample size determination for prediction models via learning‐type curves
Alimu Dayimu, Nikola Simidjievski, Nikolaos Demiris, Jean Abraham
https://doi.org/10.1002/sim.10121
Journal:  Statistics in Medicine Volume 43, Issue 16 (2024), p. 3062
The Shape of Learning Curves: A Review
Tom Viering, Marco Loog
https://doi.org/10.1109/TPAMI.2022.3220744
Journal:  IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 45, Issue 6 (2023), p. 7799


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