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Gradient Boosted Trees for Corrective Learning
Random forests (RF) have long been a widely popular method in medical image analysis. Meanwhile, the closely related gradient boosted trees (GBT) have not become a mainstream tool in medical imaging despite their attractive performance, perhaps due to their computational cost. In this paper, we leve...
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| 出版年: | Mach Learn Med Imaging |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6186453/ https://ncbi.nlm.nih.gov/pubmed/30327797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67389-9_24 |
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