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autoBagging: Learning to Rank Bagging Workflows with Metalearning
[article]
2017
arXiv
pre-print
Machine Learning (ML) has been successfully applied to a wide range of domains and applications. One of the techniques behind most of these successful applications is Ensemble Learning (EL), the field of ML that gave birth to methods such as Random Forests or Boosting. The complexity of applying these techniques together with the market scarcity on ML experts, has created the need for systems that enable a fast and easy drop-in replacement for ML libraries. Automated machine learning (autoML)
arXiv:1706.09367v1
fatcat:laizsl6lvnc3neujjw3eyv67um