Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods
This work calls on the stream-learning community to make bounded resource usage a first-class design objective alongside drift adaptation, and proposes concrete steps toward this goal, including an API through which stream learners can explicitly expose and respect resource budgets.
Sebastian Buschjäger, N. Gunasekara, H. Gomes
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