Machine Learning under Resource Constraints. / Fundamentals / / ed. by Katharina Morik, Peter Marwedel.
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 a...
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| MitwirkendeR: | |
|---|---|
| HerausgeberIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2023 |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | De Gruyter STEM ;
Volume 1 |
| Physical Description: | 1 online resource (XIV, 491 p.) |
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