Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification.
Christian OffenPublished in: CoRR (2024)
Keyphrases
- machine learning
- discrete space
- continuous domains
- continuous space
- continuous data
- continuous variables
- continuous action
- decision trees
- discrete variables
- discrete data
- data mining
- handling uncertainty
- machine learning methods
- text mining
- learning algorithm
- continuous functions
- convergence rate
- knowledge discovery
- machine learning algorithms
- continuous valued
- image segmentation
- piecewise linear
- artificial intelligence
- robust optimization
- global minima
- decision theory
- reinforcement learning
- uncertain data
- model selection
- information extraction
- knowledge representation
- ordinary differential equations
- pattern recognition
- data analysis
- optical flow
- continuous state spaces
- genetic algorithm
- active learning
- multiscale
- graphical models
- knowledge acquisition
- continuous attributes
- convergence speed