Self-Paced Multi-Task Clustering
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DOI: 10.1016/j.neucom.2019.03.062
Abstract: Abstract Multi-task clustering (MTC) has attracted a lot of research attentions in machine learning due to its ability in utilizing the relationship among different tasks. Despite the success of traditional MTC models, they are either… read more here.
Keywords: task clustering; multi task; self paced; paced multi ... See more keywords
Optimizing Workflow Task Clustering Using Reinforcement Learning
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DOI: 10.1109/access.2021.3101454
Abstract: Scientific workflows are composed of many fine-grained computational tasks. Generally, a large number of small tasks will slow down the workflow performance due to the scheduling overhead incurs during the execution time. Task clustering is… read more here.
Keywords: execution; number; reinforcement learning; task clustering ... See more keywords