Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.
Christian OffenPublished in: CoRR (2024)
Keyphrases
- machine learning
- probability theory
- feature selection
- knowledge acquisition
- pattern recognition
- data mining
- explanation based learning
- learning systems
- theoretical framework
- learning tasks
- data analysis
- decision theory
- reinforcement learning
- decision making
- information systems
- learning algorithm
- belief functions
- finite number
- knowledge engineering
- computational models
- incomplete information
- interdisciplinary field
- machine learning algorithms
- semi supervised learning
- model selection
- text classification
- text mining
- natural language processing
- information extraction
- knowledge representation
- computer science
- decision trees
- artificial intelligence