2020年5月7日 · The new method is called deshrinking ridge regression (DRR). By evaluating the methods under three different model sizes (small, medium and large), we demonstrate that DRR is more generalized for all model sizes than EMMA, which …

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2021年3月29日 · Ordinary ridge regression is inflexible and inaccurate for GWAS (Wang et al., 2020). Therefore, we apply the following DRR method, which can bring both the accurate effects and tests back. The essential difference between ORR and DRR is the well-measurement-factor (also called degree of freedom), which is

An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression. Please use the canonical form https://CRAN.R-project.org/package=DRR to link to this page.

An implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression. Install from CRAN: Load it:

2016年8月9日 · DRR（数字重建放射影像）通过数学模拟算法将3D CT数据转换为2D图像，广泛应用于CT模拟定位、图像引导放射治疗等领域。 使用DRR图像进行2D-3D配准不仅减少了辐射暴露，还降低了医疗成本。

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drr Implements Dimensionality Reduction via Regression using Kernel Ridge Regression. X, ndim = ncol(X), lambda = c(0, 10^(-3:2)), kernel = "rbfdot", kernel.pars = list(sigma = 10^(-3:4)), pca …

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Kernel Ridge Regression (KRR，核脊回归) 是Ridge Regression (RR，脊回归)的kernel版本，与Support Vector Regression (SVR，支持向量回归)类似。 所以，在这里，我们先大致了解RR的来源，由此引入KRR，再来了解KRR与RR、KRR与SVR等之间的关系，最后再详细推导KRR的整个过程。 Why RR?