Machine Learning as a Service (MLaaS) Selection for IoT Environments
This thesis presents two novel frameworks for selecting Machine Learning as a Service (MLaaS) providers using incomplete Quality of Service (QoS) information and contextual data in IoT environments. The proposed MLaaS Selection Framework (MSF) enhances service selection with bias detection and expla...
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| Format: | Thesis |
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Curtin University
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/96625 |