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Vector cascade algorithms with infinitely supported masks in weighted L_2-spaces
期刊名称:Acta Mathematica Sinica-English Series
时间:2013.4.4
页码:691-702
相关项目:对一系列高维学习算法的理论研究
作者:
J. B. Yang|
同期刊论文项目
对一系列高维学习算法的理论研究
期刊论文 17
同项目期刊论文
Convergence and error estimate of cascade algorithms with infinitely supported masks in Lp(R^s)
Approximation analysis of learning algorithms for support vector regression and quantile regression
Bound the learning rates with generalized gradients
Learning with varying insensitive loss
Logistic classification with varying Gaussians
The distance between feature subspaces of kernel canonical correlation analysis
Conditional quantiles with varying Gaussians
ERM Scheme for Quantile Regression
Online learning for quantile regression and support vector regression
The Learning Rate of l(2)-Coefficient Regularized Classification with Strong Loss
The consistency analysis of coefficient regularized classification with convex loss
Image inpainting using complex 2-D dual-tree wavelet transform
Convergence rate of kernel canonical correlation analysis
Coefficient-based regression with non-identical unbounded sampling
无界抽样情形下不定核的系数正则化回归
Convergence analysis of coefficient-based regularization under moment incremental condition