Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification.
Himanshu SharmaLukás NovákMichael D. ShieldsPublished in: CoRR (2024)
Keyphrases
- machine learning
- artificial intelligence
- computer science
- data mining
- natural language processing
- knowledge acquisition
- learning algorithm
- machine learning methods
- machine learning approaches
- information extraction
- machine learning algorithms
- information retrieval
- computational intelligence
- explanation based learning
- learning problems
- learning systems
- neural network
- supervised learning
- data analysis
- scientific knowledge
- handling uncertainty
- scientific discovery
- probability theory
- inherent uncertainty
- decision theory
- scientific disciplines
- computer vision
- knowledge engineering
- uncertain data
- learning tasks
- model selection
- natural language
- reinforcement learning
- decision trees
- feature selection