Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection
How to sample training/validation data is an important question for machine learning models, especially when the dataset is heterogeneous and skewed. In this paper, we propose a data sampling method that robustly selects training/validation data. We formulate the training/validation data sampling pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Games |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4336/14/1/13 |