Machine Learning for Stochastic Parametrisation.
Hannah M. ChristensenSalah KouhenGreta MillerRaghul ParthipanPublished in: CoRR (2024)
Keyphrases
- machine learning
- machine learning methods
- computational intelligence
- data mining
- natural language processing
- explanation based learning
- pattern recognition
- information extraction
- knowledge acquisition
- stochastic optimization
- decision trees
- machine learning approaches
- inductive learning
- artificial intelligence
- machine learning algorithms
- knowledge representation
- text mining
- computer vision
- feature selection
- support vector machine
- knowledge discovery
- learning problems
- inductive logic programming
- computational biology
- computer science
- learning algorithm
- machine learning and data mining
- stochastic model
- reinforcement learning