Variable-Based Calibration for Machine Learning Classifiers.
Markelle KellyPadhraic SmythPublished in: CoRR (2022)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- feature selection
- supervised classification
- training data
- camera calibration
- training examples
- learning algorithm
- learning classifier systems
- multiple classifier systems
- inductive learning
- meta learning
- svm classifier
- naive bayes
- pattern recognition
- support vector
- classifier combination
- classification models
- support vector machine
- classification algorithm
- supervised learning
- learning problems
- learning tasks
- calibration method
- ensemble learning
- classification systems
- neural network
- test set
- artificial intelligence
- data mining
- majority voting
- multiple classifiers
- model selection
- classification accuracy
- roc curve
- camera parameters
- field of view
- kernel methods
- information extraction
- class labels
- natural language processing
- multi view
- knowledge acquisition