Machine learning the derivative discontinuity of density-functional theory.
Johannes GedeonJonathan SchmidtMatthew J. P. HodgsonJack WetherellCarlos L. Benavides-RiverosMiguel A. L. MarquesPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- machine learning
- machine learning methods
- low density
- data mining
- machine learning algorithms
- learning algorithm
- formal theory
- inductive learning
- computer science
- text classification
- statistical learning theory
- theoretical basis
- theoretical framework
- real time
- natural language processing
- pattern recognition
- decision making
- computational intelligence
- semi supervised learning
- learning systems
- information extraction
- learning problems
- theoretical foundation
- reinforcement learning
- belief functions
- machine learning approaches
- feature selection
- artificial intelligence
- real world