Name: Machine Learning Under Resource Constraints - Discovery in Physics
SKU: 54768429
Price: 73.87 EUR
Availability: InStock
Author: Morik, Katharina ; Rhode, Wolfgang

portada Machine Learning Under Resource Constraints - Discovery in Physics

Machine Learning Under Resource Constraints - Discovery in Physics

Type

Physical Book

Illustrated by

Katharina Morik

Wolfgang Rhode

Publisher

de Gruyter

Author

Morik, Katharina ; Rhode, Wolfgang

Language

English

Pages

363

Format

Paperback

ISBN13

9783110785951

Synopsis "Machine Learning Under Resource Constraints - Discovery in Physics "

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. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. 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.

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Machine Learning Under Resource Constraints - Discovery in Physics - Morik, Katharina ; Rhode, Wolfgang

Synopsis "Machine Learning Under Resource Constraints - Discovery in Physics "

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