Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities.
Christoph ObermairThomas Cartier-MichaudAndrea ApollonioWilliam MillarLukas FelsbergerLorenz FischlHolger Severin BovbjergDaniel WollmannWalter WuenschNuria Catalan LasherasMarçà BoronatFranz PernkopfGraeme BurtPublished in: CoRR (2022)
Keyphrases
- machine learning
- prediction accuracy
- wide range
- recursive neural networks
- radio frequency
- prediction algorithm
- pattern recognition
- active learning
- computational biology
- relevance feedback
- inductive learning
- decision trees
- data mining
- prediction error
- knowledge acquisition
- text classification
- natural language processing
- information extraction
- support vector machine
- image processing
- model selection
- artificial intelligence
- high precision
- machine learning methods
- learning tasks
- supervised learning
- prediction model
- feature selection
- learning algorithm
- supervised machine learning
- gradient direction