[Set Machine Learning under Resource Constraints, 3 volumes]

Fundamentals, Discovery in Physics, Applications
1. Auflage 2022
ISBN: 978-3-11-113581-6
Verlag: De Gruyter

Buch, Englisch, Band Volume 1-3, 1346 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 2259 g

Reihe: 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. Comprehensive overview of novel approaches to machine learning research that consider resource constraints and application of the described methods.

Autoren/Hrsg.

Morik, Katharina

Rahnenführer, Jörg

Wietfeld, Christian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen