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Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation
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 linear trend estimation (ELiTE). ELiTE utilizes the recently proposed ℓ(1) trend ltering signal approximation method...
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| Pubblicato in: | Proc SIAM Int Conf Data Min |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5367639/ https://ncbi.nlm.nih.gov/pubmed/28357158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1137/1.9781611974348.30 |
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