Dec 28, 2017 · We demonstrate how auxiliary 'co-data' can be used to improve the performance of a Random Forest in such a setting.
Jun 2, 2017 · We demonstrate how auxiliary "co-data" can be used to improve the performance of a Random Forest in such a setting.
Dec 28, 2017 · We demonstrate how auxiliary 'co-data' can be used to improve the performance of a Random Forest in such a setting.
Prediction in high dimensional settings is difficult due to the large number of variables relative to the sample size. We demonstrate how auxiliary ...
Improved high-dimensional prediction with Random Forests by the use of co-data. Authors. Te Beest, Dennis E; Mes, Steven W; Wilting, Saskia M; Brakenhoff ...
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We demonstrate how auxiliary 'co-data' can be used to improve the performance of a Random Forest in such a setting. Results: Co-data are incorporated in the ...
Improved high-dimensional prediction with Random Forests by the use of co-data. DE te Beest, S Mes, Saskia Wilting, RH Brakenhoff, MA van de Wiel.
We demonstrate how auxiliary 'co-data' can be used to improve the performance of a Random Forest in such a setting. Co-data are incorporated in the Random ...
Improved high-dimensional prediction with Random Forests by the use of co-data. Overview of attention for article published in BMC Bioinformatics, December ...
结论所提出的方法能够利用辅助协同数据来提高随机森林的性能。在第二个例子中，我们展示了如何通过包括探针相对于已知CpG 岛的位置、探针靶向的CpG 位点的数量以及一组来自 ...