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ORCIDMachine Learning under Resource Constraints, 2022
Volume 2: Discovery in Physics
- Katharina Morik, Wolfgang Rhode:
Machine Learning under Resource Constraints - Volume 2: Discovery in Physics. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078595-1 - Wolfgang Rhode, Katharina Morik:
Introduction. 1-29 - Bernhard Spaan, Wolfgang Rhode, Lena Linhoff, Alicia Fattorini, Holger Stevens:
Challenges in Particle and Astroparticle Physics. 31-49 - Katharina Morik, Mirko Bunse:
Key Concepts in Machine Learning and Data Analysis. 51-75 - Wolfgang Rhode, Bernhard Spaan, Hans Dembinski, Maximilian Linhoff, Tim Ruhe, Holger Stevens:
Data Acquisition and Data Structure. 77-101 - Bernhard Spaan, Hans Dembinski, Gerwin Meier, Jean-Marco Alameddine, Dominik Baack, Mirko Bunse, Jens Teubner, Thomas Lindemann, Maximilian Linhoff, Tim Ruhe:
Monte Carlo Simulations. 103-143 - Wolfgang Rhode, Dominik Elsässer, Maximilian Linhoff, Jens Teubner:
Data Storage and Access. 145-161 - Wolfgang Rhode, Tim Ruhe, Maximilian Linhoff, Jens Buß, Lukas Nickel, Sebastian Buschjäger:
Monitoring and Feature Extraction. 163-191 - Wolfgang Rhode, Margarete Schellenberg, Bernhard Spaan, Tim Ruhe, Maximilian Meier, Maximilian Linhoff, Jens Buß, Johannes Erdmann:
Event Property Estimation and Signal Background Separation. 193-243 - Wolfgang Rhode, Mirco Hünnefeld, Bernhard Spaan, Vukan Jevtic, Lukas Pfahler, Sebastian Buschjäger:
Deep Learning Applications. 245-278 - Tim Ruhe, Mirko Bunse, Wolfgang Rhode, Bernhard Spaan, Michael Schmelling, Maximilian Linhoff, Marlene Doert, Karolin Hymon:
Inverse Problems. 279-317 - Bibliography. 319-341
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