Description: 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。-Ridge Regression RR ridge regression estimates, it is useful to nonlinear time series algorithms, in Local Polynomial prediction in very useful. Platform: |
Size: 1024 |
Author:zhxj |
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Description: 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 notice is that the sparseness arose from complementary slackness conditions
which in turn came from the fact that we had inequality constraints. In the SVM the penalty
that was paid for being on the wrong side of the support plane was given by C
P
i » k
i for
positive integers k, where » i is the orthogonal distance away from the support plane. Note
that the term jjwjj2 was there to penalize large w and hence to regularize the solution.
Importantly, there was no penalt Platform: |
Size: 51200 |
Author:bahman |
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Description: 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,there are plots for showing results.
-This is 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,there are plots for showing results.
Platform: |
Size: 24576 |
Author:maysam |
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Description: Applied Statistics Using SPSS,STATISTICA,MATLAB and R
Joaquim P.
ISBN 978-3-540-71971-7 Springer Berlin Heidelberg New York-Applied Statistics Using SPSS, STATISTICA,MATLAB and R
Inclusion of R as an application tool. As a matter of fact, R is a free
software product which has nowadays reached a high level of maturity
and is being increasingly used by many people as a statistical analysis
tool.
Chapter 3 has an added section on bootstrap estimation methods, which
have gained a large popularity in practical applications.
A revised explanation and treatment of tree classifiers in Chapter 6 with
the inclusion of the QUEST approach.
Several improvements of Chapter 7 (regression), namely: details
concerning the meaning and computation of multiple and partial
correlation coefficients, with examples a more thorough treatment and
exemplification of the ridge regression topic more attention dedicated to
model evaluation. Platform: |
Size: 6702080 |
Author:ABC |
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Description: matlab岭回归分析专用,可供需要人士进行编程实现，本人亲测有效，不过数据需要使用者寻找。-ridge regression analysis matlab exclusively available to those in need for programming, I pro-test effective, but requires users to find the data. Platform: |
Size: 1024 |
Author:马环宇 |
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Description: matlab实现岭回归，并在实际例子中体现了他的用法。-Matlab ridge regression, and reflected his usage in the practical example. Platform: |
Size: 3072 |
Author:安占福 |
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Description: 多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出-
Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent.
Platform: |
Size: 5120 |
Author:李三 |
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Description: matlab实现各种经典回归算法，如最小二乘，ridge，lasso，elastic net等等，以及各种回归算法应用实例。(Many classic regression methods such as least squares, ridge, lasso and elastic net and so on. In addition, some application examples are here indetails.) Platform: |
Size: 35840 |
Author:wu joy
|
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Description: 核岭回归算法
输入数据集(需要分开存放训练集和测试集)
利用4重交叉验证法调参
最后输出分类准确率(Kernel ridge regression algorithm
Input data set (training set and test set need to be stored separately)
Parameter adjustment by 4-fold cross validation
Final output classification accuracy) Platform: |
Size: 3072 |
Author:GHao |
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Search - ridge regression matlab