Machine Learning under Resource Constraints
Overview & Synopsis
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.
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Document Information
| Document Title | Machine Learning under Resource Constraints |
|---|---|
| Author / Organization | Katharina Morik, Jörg Rahnenführer, Christian Wietfeld, Peter Marwedel, Wolfgang Rhode |
| Subject & Discipline | Machine Learning, Deep Learning and Neural Networks, Artificial Intelligence, Statistics, Mathematical Statistics, and SAS Programming, Probability and Stochastic Processes |
| Categories | Machine Learning |
| Publication Year | 2023 |
| ISBN | 978-3111135816 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-9732 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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