[Set Machine Learning under Resource Constraints, 3 volumes]
Fundamentals, Discovery in Physics, Applications
(Sprache: Englisch)
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...
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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. Comprehensive overview of novel approaches to machine learning research that consider resource constraints and application of the described methods.
Bibliographische Angaben
- 2022, 1346 Seiten, Maße: 17,4 x 24,2 cm, Englisch
- Herausgegeben: Katharina Morik, Jörg Rahnenführer, Christian Wietfeld
- Verlag: De Gruyter
- ISBN-10: 3111135810
- ISBN-13: 9783111135816
- Erscheinungsdatum: 31.12.2022
Sprache:
Englisch
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