Jacow: Application of machine learning to beam diagnostics
Abstract Machine learning (ML) techniques are widely used in science and industry as a
powerful tool for data analysis and automation. Currently, in accelerator physics ML is …
powerful tool for data analysis and automation. Currently, in accelerator physics ML is …
Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex
Standard deep learning methods, such as Ensemble Models, Bayesian Neural Networks,
and Quantile Regression Models provide estimates of prediction uncertainties for data …
and Quantile Regression Models provide estimates of prediction uncertainties for data …
[PDF][PDF] APPLICATION OF MACHINE LEARNING TO BEAM DIAGNOSTICS
RM LEARNING - inspirehep.net
Abstract Machine Learning (ML) techniques are widely used in science and industry to
discover relevant information and make predictions from data. The application ranges from …
discover relevant information and make predictions from data. The application ranges from …