Tackling Dataset Bias With an Automated Collection of Real-World Samples
The early 21st-century technological advancements tilted the scales towards data-driven learning. Thus, modern machine-learning systems rely heavily on data to learn complex models to efficiently provide relevant predictions. Data-driven learning suffers from overfitting, a situation in which the le...
| Published in: | IEEE Access |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9969540/ |