Description: 介绍了交叉验证的基本概念和常见问题。不是源码，但是编程用对新手很有用。-Introduces the basic concepts of cross-validation and frequently asked questions. Not the source, but the programming is useful for the novice to use. Platform: |
Size: 7168 |
Author:sun |
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Description: 用matlab实现Part1. 实现一个k近邻分类器，Part 2.实现一个最小二乘分类器，Part 3.实现一个支持向量机分类器，Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4. Different data sets used in the cross-validation to select individual parameters of the algorithm Platform: |
Size: 4096 |
Author:张翰晓 |
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Description: 10折交叉验证代码 自编函数 可用于任何数据 直接使用即可-10 fold cross validation code editing the function can be used in any data can be used directly
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Size: 1024 |
Author:王 |
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Description: LS-SVM Leave-One-Out Cross-Validation Demo
G. C. Cawley, "Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs", Proceedings of the International Joint Conference on Neural Networks (IJCNN-2006), pages 1661-1668, Vancouver, BC, Canada, July 16-21 2006. (pdf)theoval.cmp.uea.ac.uk/~gcc/matlab/
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Size: 5120 |
Author:leozajung |
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Description: 基于广义回归神经网络的数据预测，使用交叉验证的GRNN神经网络预测程序，包含BP和GRNN效果比较程序。两网络用相同的数据进行训练。-Based on generalized regression neural network data prediction, using cross-validation GRNN neural network prediction program, including BP and GRNN effect comparison procedures. Two networks use the same data for training. Platform: |
Size: 8192 |
Author:rong |
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Description: 广义交叉验证函数(GCV)
广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。-Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations. Platform: |
Size: 1024 |
Author:师海阔 |
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Description: k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function Platform: |
Size: 142336 |
Author:朱戎生 |
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Description: 1、 极大似然估计
尝试用0~24阶多项式拟合，并用5折交叉验证选择最佳模型（多项式阶数及其系数，给出类似课件中的图），并画出最佳模型的拟合效果图（类似图1，蓝色点为训练样本、红色点为测试样本、绿色线为模型预测），给出该模型的测试误差。
2、 岭回归
多项式阶数为24，正则系数λ的取值范围为exp(-19)到exp(20)，采用并用5折交叉验证选择最佳模型。实验结果要求同1。
-1, the maximum likelihood estimate of 0 to 24 try-order polynomial fitting, with 5-fold cross-validation to select the best model (polynomial order and coefficients are given in Figure similar courseware), and draw the best model Fitting renderings (similar to Figure 1, a blue dot to the training sample, the test sample is red dot, the green line is the model prediction), the test error of the model are given. 2, ridge regression polynomial order of 24, the regular coefficient ranges λ is exp (-19) to exp (20), and with the use of 5-fold cross-validation to select the best model. The experimental results with a requirement. Platform: |
Size: 131072 |
Author:Anymake |
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Description: Divide/Create data into K-Folds training and testing data which are balanced basing on the labels. It is for k-fold cross validation. Platform: |
Size: 1024 |
Author:tund |
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Description: 基于交叉验证法小波降噪程序，主要应用白噪声-Cross-validation method based on wavelet noise reduction program, the main application of white noise Platform: |
Size: 1024 |
Author:陈作鹏 |
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Description: 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation Platform: |
Size: 521216 |
Author:刘韵 |
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Description: matlab编写的调整svm参数的程序，其中cross是主程序，另两个是自己编写的svm核函数，如果要用matlab自带的核函数就把-t的值改成2即可。Ytrain是标记矩阵，Xtrain是特征矩阵，都由用户自己导入。可利用k倍交叉验证来选择最优的c参数。k可自行更改。-svm matlab prepared to adjust the parameters of the program, which cross the main program, and the other two are themselves prepared svm kernel function, if you use the value of the kernel function matlab own put-t can be changed to 2. Ytrain is labeled matrix, Xtrain is characteristic matrix, imported by the users themselves. K-fold cross-validation can be used to select the optimal c parameter. k can make changes. Platform: |
Size: 1728512 |
Author:wang |
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Description: R语言实现范剑青的缺失数据估计（统计学目前最热研究方向），论文SCI引用超过1千次-R language Jianqing Fan of missing data estimates (statistical currently the hottest research), SCI papers cited more than one thousand times Platform: |
Size: 1024 |
Author:车天波 |
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Description: 用于自动计算X和Y矩阵的PLS回归。生成的各种表格一XLS文件存储。其中交叉验证内置，但是可能会有问题-Used to automatically calculate the X and Y matrices PLS regression. A variety of forms generated XLS file storage. Where cross-validation built-in, but there may be a problem Platform: |
Size: 3072 |
Author:zhangxun |
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Description: 以著名的wine数据作为实验样本。包括k-NN算法，交叉验证，PCA降维等。-With the famous wine data as experimental samples.K- NN algorithm, cross validation, PCA dimension reduction, etc. Platform: |
Size: 18432 |
Author:Zhuzhiwei |
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