搜索结果: 1-2 共查到“应用统计数学 methods”相关记录2条 . 查询时间(0.484 秒)
Proximal methods for the latent group lasso penalty
Structured sparsity proximal methods regularization
2012/11/23
We consider a regularized least squares problem, with regularization by structured sparsity-inducing norms, which extend the usual $\ell_1$ and the group lasso penalty, by allowing the subsets to over...
Consistency of Functional Learning Methods Based on Derivatives
Functional Data Analysis Consistency Statistical learning Derivatives SVM Smoothing splines RKHS Kernel
2011/6/15
In some real world applications, such as spectrometry, functional models
achieve better predictive performances if they work on the derivatives of order
m of their inputs rather than on the original...