Comparison of AutoML frameworks for effective analysis in MAPE-K self adaptive systems
Abstract Typically, the MAPE-K (Monitoring, Analysis, Planning, Executing–Knowledge) loop represents the cornerstone of Self-Adaptive Systems (SASs). These systems require highly intelligent analysis mechanisms to ensure reliable performance under changing conditions. Recently, Automated Machine Lea...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2026-03-01
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| シリーズ: | Discover Artificial Intelligence |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s44163-026-01083-9 |
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