Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window.
D. L. BoydaMaxim N. ChernodubN. V. GerasimeniukV. A. GoyS. D. LiubimovA. V. MolochkovPublished in: CoRR (2020)
Keyphrases
- machine learning
- computer science
- artificial intelligence
- machine learning algorithms
- computer vision
- pattern recognition
- machine learning methods
- data mining
- support vector machine
- kernel methods
- sliding window
- computational intelligence
- information extraction
- decision trees
- learning algorithm
- knowledge discovery
- active learning
- natural language
- knowledge acquisition
- bayesian networks
- information systems
- learning tasks
- concept lattice
- computational biology
- domain theory
- wind speed
- supervised machine learning