Learning with Noisy Labels in Machine Learning (Q169072): Difference between revisions
From geokb
(Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1) |
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Revision as of 12:37, 8 September 2024
"Analyzing machine learning models that learn with incorrect or missing data labels."
- Noisy Labels
- Hyperparameter Optimization
- Instance Selection
- Robust Learning
- Automated Machine Learning
- Meta-Learning
- Deep Neural Networks
- Classification
- Positive and Unlabeled Data
- Loss Correction
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Learning with Noisy Labels in Machine Learning |
"Analyzing machine learning models that learn with incorrect or missing data labels." |
|
