Название: Machine Learning under Resource Constraints, Volume 2: Discovery in Physics
Автор: Katharina Morik, Wolfgang Rhode
Издательство: De Gruyter
Год: 2023
Страниц: 364
Язык: английский
Формат: pdf (true), epub
Размер: 56.9 MB
Machine Learning under Resource Constraints addresses novel Machine Learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Volume 2 covers Machine Learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, Machine Learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by Machine Learning.