Random Forest (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Random Forest" in German language version.

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Tin Kam Ho: The Random Subspace Method for Constructing Decision Forests. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 20. Jahrgang, Nr. 8, 1998, S. 832–844, doi:10.1109/34.709601 (bell-labs.com [PDF]).

doi.org

Tin Kam Ho, Random Decision Forests, Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, Canada, August 14-18, 1995, 278-282, doi:10.1109/ICDAR.1995.598994.
Tin Kam Ho: The Random Subspace Method for Constructing Decision Forests. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 20. Jahrgang, Nr. 8, 1998, S. 832–844, doi:10.1109/34.709601 (bell-labs.com [PDF]).
Breiman L., Random forests. In: Machine Learning, 2001, 45(1), Seiten 5–32, doi:10.1023/A:1010933404324.
Tin Kam Ho: A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. In: Pattern Analysis and Applications. 5. Jahrgang, Nr. 2, 2002, S. 102–112, doi:10.1007/s100440200009 (englisch, ect.bell-labs.com (Memento des Originals vom 17. April 2016 im Internet Archive) [abgerufen am 3. Januar 2024]).
Anna Bosch, Andrew Zisserman, Xavier Muñoz: Image classification using random forests and ferns. ICCV 2007. IEEE 11th International Conference on Computer Vision, Seiten 1–8, doi:10.1109/ICCV.2007.4409066.
Yi Lin, Yongho Jeon: Random Forests and Adaptive Nearest Neighbors. In: Journal of the American Statistical Association. Band 101, Nr. 474, 1. Juni 2006, ISSN 0162-1459, S. 578–590, doi:10.1198/016214505000001230 (tandfonline.com).

ibm.com

IBM: What is random forest?

r-project.org

cran.r-project.org

Andy Liaw: Documentation for R package randomForest. 16. Oktober 2012, abgerufen am 8. Januar 2024 (englisch).

redirecter.toolforge.org

Tin Kam Ho: A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. In: Pattern Analysis and Applications. 5. Jahrgang, Nr. 2, 2002, S. 102–112, doi:10.1007/s100440200009 (englisch, ect.bell-labs.com (Memento des Originals vom 17. April 2016 im Internet Archive) [abgerufen am 3. Januar 2024]).

su.domains

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Trevor Hastie, Robert Tibshirani, Jerome Friedman: The Elements of Statistical Learning. 2. Auflage. Springer, 2017, S. 352 (su.domains).

tandfonline.com

Yi Lin, Yongho Jeon: Random Forests and Adaptive Nearest Neighbors. In: Journal of the American Statistical Association. Band 101, Nr. 474, 1. Juni 2006, ISSN 0162-1459, S. 578–590, doi:10.1198/016214505000001230 (tandfonline.com).

web.archive.org

Tin Kam Ho: A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. In: Pattern Analysis and Applications. 5. Jahrgang, Nr. 2, 2002, S. 102–112, doi:10.1007/s100440200009 (englisch, ect.bell-labs.com (Memento des Originals vom 17. April 2016 im Internet Archive) [abgerufen am 3. Januar 2024]).

zdb-katalog.de

Yi Lin, Yongho Jeon: Random Forests and Adaptive Nearest Neighbors. In: Journal of the American Statistical Association. Band 101, Nr. 474, 1. Juni 2006, ISSN 0162-1459, S. 578–590, doi:10.1198/016214505000001230 (tandfonline.com).