Learning with Noisy Labels in Machine Learning (Q169072)

From geokb
Revision as of 12:37, 8 September 2024 by Sky (talk | contribs) (‎Changed an Item: moved OpenAlex ID to its dedicated external ID datatype for consistency)
"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."
  • Noisy Labels
  • Hyperparameter Optimization
  • Instance Selection
  • Robust Learning
  • Automated Machine Learning
  • Meta-Learning
  • Deep Neural Networks
  • Classification
  • Positive and Unlabeled Data
  • Loss Correction

Statements