Machine learning under resource constraints. / Volume 1, : Fundamentals / / edited by Katharina Morik and 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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| Superior document: | De Gruyter STEM |
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| TeilnehmendeR: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter,, 2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | De Gruyter STEM.
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| Physical Description: | 1 online resource (xi, 489 pages) :; illustrations. |
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