Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors
Automated machine learning (AutoML) has achieved remarkable progress on various tasks, which is attributed to its minimal involvement of manual feature and model designs. However, most of existing AutoML pipelines only touch parts of the full machine learning pipeline, e.g., neural architecture sear...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 9 vom: 29. Sept., Seite 3091-3107
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| 1. Verfasser: |
Zheng, Xiawu
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Yang,
Hong, Sirui,
Li, Huixia,
Tang, Lang,
Xiong, Youcheng,
Zhou, Jin,
Wang, Yan,
Sun, Xiaoshuai,
Zhu, Pengfei,
Wu, Chenglin,
Ji, Rongrong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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