Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review.
Tommaso DorigoPablo de CastroPublished in: CoRR (2020)
Keyphrases
- high energy physics
- machine learning
- scientific data
- bitmap indices
- machine learning methods
- pattern recognition
- learning systems
- computational intelligence
- knowledge representation
- active learning
- data analysis
- computer science
- decision trees
- computer vision
- data mining
- inductive learning
- computational biology
- machine learning and data mining
- learning tasks
- statistical methods
- grid infrastructures
- supervised learning
- model selection
- natural language processing
- natural language
- semi supervised learning
- machine learning algorithms
- text mining
- database
- reinforcement learning
- training data
- feature selection
- learning algorithm
- genetic algorithm
- neural network