搜索资源列表
regrRR
- Ridge Regression RR 岭回归估计，是非常有用的非线性时间序列算法，在局部多项式预测中非常有用。
ridgeregression
- This matlab code for estimating the static linear system with Ridge Regression that is written by matlab 7.0. Here we want to estimate the below function: 1 - u^2 + 2*u^3 +u^5 +3*u^7 these are 2 files : without noise and with noise finally,th
linghuigui
- 岭回归文章附MATLAB源代码，相对完整，是一篇学生论文。-Ridge Regression article attached to MATLAB source code, relatively complete, is a student paper.
loreta
- Code for computing LORETA inverse solution for the EEG/MEG inverse problem.This corresponds to a Ridge regression using a discrete Laplace Operator as the prior covariance structure of the coeficients. The code is open to use different design matrice
SVregression
- In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine the solution. The thing to not
regression_copy
- 岭回归程序 输入参数为自变量、因变量和优化因子 输出参数为映射矩阵与回归误差-Ridge Regression. Input parameters: - X: Input data block (k x n) - Y: Output data block (k x m) - q: Stabiliaztion factor (optional) If not given, estimated from data Return parameters: - F
ridge
- 应用回归分析中岭回归的matlab程序代码-RIDGE REGRESSION
Redge-regression
- 岭回归的matla源程序，主要用于解决无法求逆或需要更好的解时所用的-Ridge regression matla source, mainly used to solve the inverse can not be a better solution or need to use when
RIDGE-REGRESSION
- FORTRAN语言程序。这是进行数理统计上岭回归的计算机程序，很好用的。 -THIS IS A PROGRAM OF RIDGE REGRESSION PROGRAM.
Desktop
- This just a simple method in element of statistical learning..... It is a function for degree of freedom calculation.(Using for ridge regression) -This is just a simple method in element of statistical learning..... It is a function for degree of f
System-Engineering-Algorithm
- 系统工程涉及到的算法的matlab可视化实现，主要有主成分分析、岭回归分析等。-Systems engineering related to the algorithm matlab Visualization, mainly principal component analysis, ridge regression analysis.
Ridge-regression
- SPSS 岭分析， 适用于SPSS 12.0 以上，如16.0，,10.-ridge regression
SAS6_11linghuiguichengxujishili
- sas学习材料，有关岭回归的程序设计及实例分析，非常详细-sas learning materials, the ridge regression analysis program design and examples, very detailed
Fridge-regress
- 岭回归分析（Ridge regression）是一种专用于共线性数据分析的有偏估计回归方法，这套源码是对ridge regression算法的一种实现，附有测试实例-Ridge regression (Ridge regression) is a special collinearity data analysis unbiased estimate of the regression method, this set of source code is an implementation of
mtl_reg_sim_complinearized
- 多元非线性回归——岭回归方法，比常规的最小二乘更适合数据量较大的优化问题-Multiple nonlinear regression- ridge regression method is more suitable than the conventional least squares optimization problem of the large amount of data
linghuigui
- 该程序为岭回归在决策分析中的应用，能够给出最优的各组分的回归系数-The program for the ridge regression in the application of decision analysis, be able to give the best of each component regression coefficients
regression
- 机器学习算法，预测数值型回归，岭回归和逐步线性回归-Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression
ridge
- 这段代码可以实现机器学习中的岭回归。自行添加高斯噪声后对每个数据集的七阶多项式用不同的值λ进行岭回归-Perform ridge regression on each dataset with 7th order polynomial with different value λ.Add Gaussian noise.
ridge
- 岭回归模型，非MATLAB工具箱中的。效果还不错。-ridge regression
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