How to evaluate uncertainty estimates in machine learning for regression?
Laurens SluijtermanEric CatorTom HeskesPublished in: Neural Networks (2024)
Keyphrases
- machine learning
- classification and regression problems
- model selection
- machine learning methods
- confidence intervals
- uncertain data
- inductive learning
- linear regression
- pattern recognition
- information extraction
- regression model
- knowledge acquisition
- learning algorithm
- machine learning algorithms
- computer science
- handling uncertainty
- learning systems
- explanation based learning
- regression analysis
- semi supervised learning
- regression problems
- artificial intelligence
- knowledge discovery
- reinforcement learning
- decision trees
- data mining
- learning problems
- text mining
- possibility theory
- neural network
- support vector
- measurement error
- regression method
- reproducing kernel hilbert space
- decision theory
- active learning
- natural language processing
- text classification
- genetic programming
- unsupervised learning