Variable-Based Calibration for Machine Learning Classifiers.
Markelle KellyPadhraic SmythPublished in: AAAI (2023)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- feature selection
- supervised classification
- naive bayes
- learning algorithm
- camera calibration
- roc analysis
- classification systems
- meta learning
- inductive learning
- training data
- learning classifier systems
- text classification
- test set
- pattern recognition
- knowledge acquisition
- training set
- artificial intelligence
- support vector
- classifier combination
- classification algorithm
- semi supervised learning
- multiple classifiers
- learning problems
- knowledge representation
- information extraction
- majority voting
- multiple classifier systems
- calibration method
- class distribution
- reinforcement learning
- classification rate
- focal length
- classification models
- inductive logic programming
- text mining
- model selection