Aleatoric and Epistemic Uncertainty in Machine Learning: A Tutorial Introduction.
Eyke HüllermeierWillem WaegemanPublished in: CoRR (2019)
Keyphrases
- machine learning
- application of machine learning methods
- handling uncertainty
- uncertain data
- machine learning algorithms
- artificial intelligence
- computational biology
- learning algorithm
- decision trees
- machine learning approaches
- computer science
- machine learning methods
- text classification
- inherent uncertainty
- explanation based learning
- conditional probabilities
- computational intelligence
- feature selection
- supervised learning
- expert systems
- natural language processing
- robust optimization
- reinforcement learning
- pattern recognition
- inductive learning
- learning problems
- kernel methods
- model selection
- active learning
- data analysis
- information extraction
- information retrieval
- text mining
- computer vision
- researchers and graduate students
- gentle introduction
- neural network