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A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
[article]
2020
arXiv
pre-print
The exponential growth of volume, variety and velocity of data is raising the need for investigations of automated or semi-automated ways to extract useful patterns from the data. It requires deep expert knowledge and extensive computational resources to find the most appropriate mapping of learning methods for a given problem. It becomes a challenge in the presence of numerous configurations of learning algorithms on massive amounts of data. So there is a need for an intelligent recommendation
arXiv:2007.10818v1
fatcat:4jzeippeyjbxfdbza3h5222xey