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regu.rar
- ere we provide codes for a very powerful Lanczos based hybrid iterative method that can be used for large scale linear ill-posed inverse problems. The method will automatically choose [Tikhonov] regularization parameters, and automatically determ
Bolasso-feature-selection-prediction
- 这个程序实现了Francis R. Bach的Bolasso算法，用于特征选取和预测。主要用于高纬度问题的特征选取，它使用了带有Bootstrap方法的自助抽样的正则化回归，并使用了Karl Skoglund的lars实现。-This procedure achieved Francis R. Bach s Bolasso algorithms for feature selection and forecasting. The main problem for high-latitude fe
Tikhonov_Regularization_for_super_resolution
- 利用Tikhonov正则化实现的超分辨率图像序列的重建，效果还好-Use Tikhonov regularization to achieve super-resolution image sequence reconstruction, better results
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- 走时层析成像的迭代Tikhonov正则化反演研究 走时层析成像的迭代Tikhonov正则化反演研究-Go tomography by iterative Tikhonov regularization inversion study of travel time tomography by iterative Tikhonov regularization inversion of
conv1D_04_Tikhonov
- Tikhonov正则化的很有用的MATLAB程序-Tikhonov regularization useful MATLAB program
tikhonov
- 一个粗糙的tikhonov正则化代码，可以解一些小例子-tikhonov code
tikhonov
- 整理的tikhonov算法。包含一般的以及迭代的。有详细算例。-Tikhonov algorithm finishing. Contains general and iteration. Detailed studies.
Tikhonov_regularization_toolbox
- Tikhonov正则化工具箱，可实现病态方程组的正则化，以及采用L曲线法、岭估计法、GCV法等确定正则化参数，内含使用方法，亲测有效。-Tikhonov regularization toolbox, which can realize regularization in morbid equations, and using the L curve method, ridge estimation, GCV method to determine the regularization para
Tikhonov-
- 基于变分方法 灰度图像 去噪 第一个简单模型 处理效果较好-A simple model based on variational method for image denoising is better
Tikhonov.rar
- 论文Tikhonov, Ivanov and Morozov regularization for support vector machine learning(paper, Tikhonov, Ivanov and Morozov regularization for support vector machine learning)
Sparsity_SDOCT_Software_2012
- Main.m: the file to run the software Instructions how to use the GUI_interface Step 1: click the 'open test' button to input the test noisy image and click the 'open averaged'button to input the averaged image Step 2: setting the parameters for MS
ridge regression1
- 岭回归(英文名：ridge regression, Tikhonov regularization)是一种专用于共线性数据分析的有偏估计回归方法，实质上是一种改良的最小二乘估计法，通过放弃最小二乘法的无偏性，以损失部分信息、降低精度为代价获得回归系数更为符合实际、更可靠的回归方法，对病态数据的拟合要强于最小二乘法。 总之，本文档是岭回归的R语言实现代码，主要用于解决当模型中出现多重共线性问题，尤其是当你所有的解释变量都很重要，又无法通过其他检验来删除时，岭回归是一个很好的解决办法。(Ridge