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Machine Learning at the Belle II Experiment: The Full Event Interpretation and Its Validation on Belle Data

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This book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments.

The first part introduces the Belle and Belle II experiments, providing a detailed description of the Belle to Belle II data conversion tool, currently used by many analysts.

The second part covers machine learning in high-energy physics, discussing the Belle II machine learning infrastructure and selected algorithms in detail. Furthermore, it examines several machine...