9783110785944.pdf
Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect...
| Γλώσσα: | English |
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De Gruyter
2023
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| Διαθέσιμο Online: | https://www.degruyter.com/isbn/9783110785944 |
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oapen-20.500.12657-61117 |
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oapen-20.500.12657-611172024-03-27T14:14:23Z Fundamentals Morik, Katharina Marwedel, Peter Resource-Constrained Data Analysis Resource-Aware Machine Learning Embedded Systems and Machine Learning Big Data and Machine Learning Artificial Intelligence Highly Distributed Data ML on Small devices Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect to resource requirements and how to enhance scalability on diverse computing architectures ranging from embedded systems to large computing clusters. 2023-01-30T17:08:33Z 2023-01-30T17:08:33Z 2022 book ONIX_20230130_9783110785944_75 9783110785944 9783110785937 9783110786125 https://library.oapen.org/handle/20.500.12657/61117 eng De Gruyter STEM application/pdf Attribution 4.0 International 9783110785944.pdf https://www.degruyter.com/isbn/9783110785944 De Gruyter De Gruyter 10.1515/9783110785944 10.1515/9783110785944 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 9783110785944 9783110785937 9783110786125 De Gruyter Volume 1 491 Berlin/Boston open access |
| institution |
OAPEN |
| collection |
DSpace |
| language |
English |
| description |
Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect to resource requirements and how to enhance scalability on diverse computing architectures ranging from embedded systems to large computing clusters. |
| title |
9783110785944.pdf |
| spellingShingle |
9783110785944.pdf |
| title_short |
9783110785944.pdf |
| title_full |
9783110785944.pdf |
| title_fullStr |
9783110785944.pdf |
| title_full_unstemmed |
9783110785944.pdf |
| title_sort |
9783110785944.pdf |
| publisher |
De Gruyter |
| publishDate |
2023 |
| url |
https://www.degruyter.com/isbn/9783110785944 |
| _version_ |
1799945207860428800 |
