搜索资源列表
tikhonov
- 计算病态反问题时所采用的的正则化方法(Regularization method used in the computation of ill posed inverse problems)
csvd+ttls
- ttls的正则化方法，适用于各种病态反问题的求解(The regularization method of ttls is applicable to solving various ill conditioned inverse problems)
tgsvd+tsvd
- tgsvd正则化方法，适用于计算各类病态反问题(The tgsvd regularization method is suitable for the calculation of ill posed inverse problems)
Con1d_Inv
- 大地电磁1D正则化反演代码 我觉得蛮有用的 所以分享下(Magnetotelluric 1D regularization inversion code, I feel quite useful, so share it)
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
正则化
- 正则化的目的：防止过拟合；正则化的本质：约束（限制）要优化的参数。(Regularization purpose: to prevent overfitting! the nature of regularization: constraints (constraints) to optimize parameters.)
Matlab codes for linearized Bregman algorithms
- Bregman Algorithm for Anisotropic TV denosing Bregman算法各向异性TV去噪B(The methods studied here are based on the Bregman iterative regularization, and efficient algorithm for convex, constraint optimization problems. We study two different versions of th
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)
混合正则化
- 对于求解地震勘探问题提出了一个新的混合正则化方法。(A new hybrid regularization method is proposed to solve seismic exploration problems.)
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
sourie
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中(Based on regularization transposed LDA matlab source code, can be applied in face recognition)
tikhonov
- 解病态方程的正则化方法、逆问题不适定解的处理与正则化(Regularization method for solving ill conditioned equations)
SolveDALM
- l1正则化算法中的一种，用于计算矩阵方程(One of the L1 regularization algorithms used to compute matrix equations)
NLR_codes
- 压缩感知经典重建算法，非局部低秩算法，实现低秩正则约束，优化压缩图片质量。(Compressive Sensing via Nonlocal Low-Rank Regularization)
pr_reg
- 多种最优化方法的集合函数，包括吉洪诺夫正则化算法等。(mutilple method for inverse problem, mainly to solve ill-conditioned system of linear equations.including Tikhonov regularization method.)
45188302cvogelTV
- 改进的RL算法，和正则化结合，更能很好的复原图像(The improved RL algorithm, combined with regularization, can better restore the image)
Hasen's regu toolbox(MATLAB)
- 汉森的matlab正则化工具包，可用于求解正则化问题。(Hansen's Matlab regularization toolkit can be used to solve regularization problems.)
NN_MLP_classifier
- NN Least square regularization
m file
- simpson method and the other regularization method
tikhonov
- 吉洪诺夫正则化的matlab函数，可以自己选择参数值，调用即可(The matlab function of Tikhonov regularization)