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Essays on Random Forest Ensembles
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Essays on Random Forest Ensembles. |
| 개인저자 | Olson, Matthew. |
| 단체저자명 | University of Pennsylvania. Statistics. |
| 발행사항 | [S.l.]: University of Pennsylvania., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 156 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438036345 |
| 학위논문주기 | Thesis (Ph.D.)--University of Pennsylvania, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Abraham J. Wyner. |
| 요약 | A random forest is a popular machine learning ensemble method that has proven successful in solving a wide range of classification problems. While other successful classifiers, such as boosting algorithms or neural networks, admit natural interp |
| 일반주제명 | Statistics. Artificial intelligence. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
