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Learning with Subset Stacking
"Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at doi:10.48550/arXiv.2112.06251.
- Version0.1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release09/27/2022
Documentation
Team
Burhan Ozer Cavdar
Ilker Birbil
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