SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning.
Abdulhakim AlnuqaydanSergei GleyzerHarrison ProsperPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- high energy physics
- machine learning
- bitmap indices
- scientific data
- machine learning algorithms
- decision trees
- machine learning methods
- learning systems
- data mining
- learning algorithm
- feature selection
- explanation based learning
- knowledge acquisition
- information extraction
- text classification
- natural language processing
- euclidean distance
- inductive learning
- machine learning approaches
- supervised learning
- support vector machine
- knowledge representation
- data analysis
- computational intelligence
- data management
- text mining
- data sets
- least squares
- transfer learning
- active learning
- data streams
- pattern recognition
- computer vision
- neural network