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Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models
Learning accurate probabilistic models from data is crucial in many practical tasks in data mining. In this paper we present a new non-parametric calibration method called ensemble of near isotonic regression (ENIR). The method can be considered as an extension of BBQ [20], a recently proposed calib...
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| Udgivet i: | Proc IEEE Int Conf Data Min |
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| Main Authors: | , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5351887/ https://ncbi.nlm.nih.gov/pubmed/28316511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICDM.2016.0047 |
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