Generating Causal Domain Knowledge for Cloud Systems Monitoring: Unterschied zwischen den Versionen
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|kurzfassung=Recently | |kurzfassung=Recently the authors of the DomainML framework for Domain Knowledge Guided Machine Learning showed that heuristically generated hierarchical and textual domain knowledge could improve the performance of machine learning tasks in cloud system monitoring. | ||
However, they were unsuccessful in generating useful causal knowledge. The reason might be that the causal knowledge was generated with very simple heuristics. | |||
In this work, we plan to use causal learning algorithms to generate various forms of causal knowledge. We will then evaluate them on cloud system monitoring machine learning tasks with the DomainML framework. | |||
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Version vom 29. November 2022, 19:56 Uhr
Vortragende(r) | Rakan Al Masri | |
---|---|---|
Vortragstyp | Proposal | |
Betreuer(in) | Pawel Bielski | |
Termin | Fr 2. Dezember 2022 | |
Vortragsmodus | in Präsenz | |
Kurzfassung | Recently the authors of the DomainML framework for Domain Knowledge Guided Machine Learning showed that heuristically generated hierarchical and textual domain knowledge could improve the performance of machine learning tasks in cloud system monitoring.
However, they were unsuccessful in generating useful causal knowledge. The reason might be that the causal knowledge was generated with very simple heuristics. In this work, we plan to use causal learning algorithms to generate various forms of causal knowledge. We will then evaluate them on cloud system monitoring machine learning tasks with the DomainML framework. |