Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures.
Gabriele IncorvaiaDarryl HondHamid AsgariPublished in: AITest (2023)
Keyphrases
- dissimilarity measure
- machine learning
- dissimilarity representation
- anomaly detection
- pattern recognition
- handling uncertainty
- benchmark datasets
- distance measure
- intrusion detection
- similarity measure
- visual similarity
- machine learning methods
- information extraction
- data mining
- triangle inequality
- learning algorithm
- uncertain data
- information security
- clustering method
- feature space
- data analysis
- text mining
- support vector machine
- network traffic
- active learning
- object recognition
- decision trees
- image processing
- computer vision