Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production.
Michela PaganiniPublished in: CoRR (2019)
Keyphrases
- high energy physics
- machine learning
- solution space
- search algorithm
- search methods
- search efficiency
- search space
- natural language processing
- machine learning algorithms
- knowledge acquisition
- artificial intelligence
- search capabilities
- optimal solution
- search strategy
- active learning
- genetic search
- partial solutions
- machine learning methods
- data collection
- explanation based learning
- production planning
- computer vision
- database systems
- production system
- production cost
- candidate solutions
- search heuristics
- simulation software