SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures.
Koorosh AslansefatIoannis SorokosDeclan WhitingRamin Tavakoli KolagariYiannis PapadopoulosPublished in: IMBSA (2020)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- statistical methods
- machine learning approaches
- statistical tests
- statistical measures
- feature selection
- supervised classification
- pattern recognition
- real time
- training data
- learning classifier systems
- meta learning
- monitoring system
- learning algorithm
- statistical analysis
- support vector
- ensemble learning
- learning problems
- semi supervised learning
- inductive learning
- statistical models
- statistical inference
- data mining
- support vector machine
- learning tasks
- text mining
- classification algorithm
- test set
- training examples
- model selection
- supervised learning
- transfer learning
- individual features
- svm classifier
- multiple classifier systems
- naive bayes
- roc analysis
- class labels
- ensemble classifier
- linear classifiers
- knowledge acquisition
- text classification
- feature set
- data sets