Role of Structural and Conformational Diversity for Machine Learning Potentials.
Nikhil ShenoyPrudencio TossouEmmanuel NoutahiHadrien MaryDominique BeainiJiarui DingPublished in: CoRR (2023)
Keyphrases
- machine learning
- learning algorithm
- artificial intelligence
- pattern recognition
- data analysis
- machine learning algorithms
- computer vision
- machine learning methods
- high order
- data mining
- machine learning and data mining
- reinforcement learning
- inductive learning
- structural information
- decision trees
- higher order
- natural language processing
- learning tasks
- learning problems
- semi supervised learning
- computational intelligence
- information extraction
- support vector machine
- bayesian networks
- statistical methods
- supervised machine learning
- computational biology
- explanation based learning
- neural network
- transfer learning
- model selection
- knowledge acquisition
- text mining
- supervised learning
- probability distribution
- wireless sensor networks
- active learning
- computer science
- natural language
- image segmentation
- case study