![Statistical classification / Random forest / Supervised learning / Generalization error / Boosting / Margin classifier / AdaBoost / Medical diagnosis / Autopsy / Machine learning / Statistics / Ensemble learning Statistical classification / Random forest / Supervised learning / Generalization error / Boosting / Margin classifier / AdaBoost / Medical diagnosis / Autopsy / Machine learning / Statistics / Ensemble learning](https://www.pdfsearch.io/img/292c778a3311a5b6a12b4dd5bb9b934b.jpg)
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City Geneva / Pittsburgh / Bari / New York / / Company T. Acharya A.S. / Morgan Kaufmann Publishers Inc. / / Country Switzerland / United States / Italy / Bangladesh / / / Facility Abraham D. Flaxman UW Institute / / IndustryTerm machine learning algorithms / healthcare system / registration systems / classification algorithms / expert algorithms / learning algorithms / / MusicGroup P.A. / / NaturalFeature Random Forests / / Organization World Health Organization / Abraham D. Flaxman UW Institute for Health Metrics and Evaluation / United Nations / Association for the Advancement / / Person Abraham D. Flaxman / / / Position King / physician / representative / / ProgrammingLanguage R / / ProvinceOrState Virginia / Pennsylvania / New York / / PublishedMedium Machine Learning / / Technology machine learning algorithms / artificial intelligence / training algorithm / classification algorithms / Machine Learning / / URL www.aaai.org / http /
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