Fundamentals
| dc.contributor.editor | Morik, Katharina | |
| dc.contributor.editor | Marwedel, Peter | |
| dc.date.accessioned | 2023-01-30T17:08:33Z | |
| dc.date.available | 2023-01-30T17:08:33Z | |
| dc.date.issued | 2022 | |
| dc.identifier | ONIX_20230130_9783110785944_75 | |
| dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/61117 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.relation.ispartofseries | De Gruyter STEM | |
| dc.subject.classification | thema EDItEUR::P Mathematics and Science::PN Chemistry | en_US |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures | en_US |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UN Databases | en_US |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications | en_US |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence | en_US |
| dc.subject.other | Resource-Constrained Data Analysis | |
| dc.subject.other | Resource-Aware Machine Learning | |
| dc.subject.other | Embedded Systems and Machine Learning | |
| dc.subject.other | Big Data and Machine Learning | |
| dc.subject.other | Artificial Intelligence | |
| dc.subject.other | Highly Distributed Data | |
| dc.subject.other | ML on Small devices | |
| dc.subject.other | Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery | |
| dc.title | Fundamentals | |
| dc.type | book | |
| oapen.identifier.doi | 10.1515/9783110785944 | |
| oapen.relation.isPublishedBy | 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 | |
| oapen.relation.isbn | 9783110785944 | |
| oapen.relation.isbn | 9783110785937 | |
| oapen.relation.isbn | 9783110786125 | |
| oapen.imprint | De Gruyter | |
| oapen.series.number | Volume 1 | |
| oapen.pages | 491 | |
| oapen.place.publication | Berlin/Boston |
