Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics.
Tobias DieselhorstWilliam CookSebastiano BernuzziDavid RadicePublished in: Symmetry (2021)
Keyphrases
- machine learning
- pattern recognition
- information extraction
- inductive learning
- learning algorithm
- machine learning algorithms
- text classification
- natural language processing
- data mining
- learning systems
- feature selection
- active learning
- machine learning methods
- artificial intelligence
- data analysis
- lattice gas
- knowledge acquisition
- decision trees
- computational intelligence
- semi supervised learning
- high level
- supervised learning
- inductive logic programming
- neural network
- higher level
- transfer learning
- reinforcement learning
- learning tasks
- computational biology
- computer science