Quantifying Uncertainty for Machine Learning Based Diagnostic.
Owen ConveryLewis SmithYarin GalAdi HanukaPublished in: CoRR (2021)
Keyphrases
- machine learning
- expert systems
- pattern recognition
- learning algorithm
- handling uncertainty
- natural language processing
- machine learning methods
- decision trees
- uncertain data
- knowledge engineering
- knowledge acquisition
- belief functions
- text mining
- learning systems
- knowledge representation
- diagnostic reasoning
- computer science
- reinforcement learning
- artificial intelligence
- inductive logic programming
- data mining
- learning problems
- machine learning approaches
- machine learning and data mining
- robust optimization
- diagnostic tests
- diagnostic imaging
- learning tasks
- semi supervised learning
- text classification
- supervised learning
- information extraction
- feature selection
- conditional probabilities
- statistical methods
- model selection
- medical diagnosis
- decision theory
- support vector machine
- artificial neural networks
- medical diagnostic
- decision making
- neural network