Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers.
Georg SiedelSilvia VockAndrey MorozovStefan VoßPublished in: CoRR (2022)
Keyphrases
- machine learning
- machine learning algorithms
- decision trees
- machine learning methods
- feature selection
- machine learning approaches
- class labels
- supervised classification
- multiclass classification
- multi class classification
- support vector
- bayesian networks
- training data
- class membership
- learning algorithm
- learning machines
- decision boundary
- naive bayes
- learning tasks
- training samples
- supervised learning
- pattern recognition
- linear classifiers
- multi class problems
- computer vision
- feature extraction
- classification trees
- ensemble classifier
- intra class
- reinforcement learning
- training set
- learning classifier systems
- semi supervised learning
- support vector machine
- multi class
- inductive learning
- learning problems
- nearest neighbor
- distance metric
- natural language processing
- text mining
- data sets