Function Approximation for High-Energy Physics: Comparing Machine Learning and Interpolation Methods.
Ibrahim ChahrourJames D. WellsPublished in: CoRR (2021)
Keyphrases
- function approximation
- interpolation methods
- high energy physics
- machine learning
- reinforcement learning
- learning tasks
- interpolation method
- image interpolation
- scientific data
- linear interpolation
- temporal difference learning algorithms
- pattern recognition
- radial basis function
- temporal difference
- learning algorithm
- function approximators
- decision trees
- machine learning algorithms
- supervised learning
- markov decision processes
- training set
- data analysis
- semi supervised learning
- image compression
- support vector machine
- pairwise
- feature selection
- neural network
- image processing
- training data
- locally adaptive
- pixel values