Applications of Machine Learning to Lattice Quantum Field Theory.
Denis BoydaSalvatore CalìSam ForemanLena FunckeDaniel C. HackettYin LinGert AartsAndrei AlexandruXiao-Yong JinBiagio LuciniPhiala E. ShanahanPublished in: CoRR (2022)
Keyphrases
- machine learning
- quantum computing
- quantum mechanics
- machine learning algorithms
- machine learning methods
- artificial intelligence
- text mining
- machine learning approaches
- data mining
- active learning
- knowledge acquisition
- general theory
- inductive learning
- learning tasks
- theoretical framework
- learning systems
- computational intelligence
- knowledge representation
- algebraic structure
- information systems
- computer vision
- real time
- mathematical theory
- explanation based learning
- computational biology
- probability ranking principle
- theoretical foundation
- learning problems
- kernel methods
- text classification
- natural language processing
- expert systems
- decision trees
- feature selection
- data sets