Description: 支持向量机工具箱，其中包含MATLAB演示程序和一些基本的函数（计算核函数的函数、支持向量机训练函数和参数选择交叉验证函数等）。-SVM Toolbox, which contains MATLAB demo programs and some of the basic functions (Calculation Kernel function, SVM training function and parameter selection cross-validation functions, etc.). Platform: |
Size: 247586 |
Author:王晓 |
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Description: 基于决策树的n则交叉验证分类器
（决策树程序直接调用matlab中的）
crossvalidate.m N则交叉验证程序，N可选
NDT.mat 含9个国际公认标准数据集，已做过标么处理，可直接使用
专业-n Based on Decision Tree is cross-validation classification (decision tree directly call the Matlab) cr ossvalidate.m N is cross-validation procedures, N optional NDT.mat with nine internationally recognized standard data sets, what has been done superscript, direct access to professional Platform: |
Size: 235527 |
Author:hehuixin |
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Description: 神经网络训练，应用matlab7NN包，用一个隐藏层使用5折交叉验证。-Training the Neural Network
This script is something that I did for a course at Uni. It uses the Neural Networking package provided with MatLab 7 unfortunately I m not sure if it s available with the earlier versions of MatLab. This script uses the command lines for the package to perform the task, otherwise you can use the GUI that s provided, by typing nntool. This script shows 5 fold cross validation on a neural network with 1 hidden layer with a variable number of hidden nodes along with a single output. The entire process is done 2 times, because each time the data was encoded in a different manner, which in turn altered how much the Neural Network was able to learn from the data. Below you ll find the script to collect the data for the final results. Platform: |
Size: 2048 |
Author:kingking |
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Description: MATLAB的BP交叉验证的程序，自己编写的，可直接运行，供大家参考。-MATLAB-BP cross-validation procedure, I have written can be directly run, for your reference. Platform: |
Size: 1024 |
Author:朱凡 |
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Description: 一个交叉验证的matlab源码，语句简单，清楚，易修改，好实现-Matlab source code, a cross-validation statement is simple, clear, easy to modify, good to achieve Platform: |
Size: 1024 |
Author:zhanglingjun |
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Description: matlab源文件，对网络数据进行入侵检测，利用libsvm工具箱，对特征进行分类。内容包括：数据的归一化，参数择优（交叉验证），建立svm模型，性能评价。压缩包内有详细的说明文档。-matlab source files, network data for intrusion detection, to use libsvm toolbox, to classify the characteristics. The contents include: data normalization, parameters and selection of the best (cross-validation), the establishment of SVM model performance evaluation. Compressed within a detailed documentation. Platform: |
Size: 8890368 |
Author:畅畅 |
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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: 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/
Platform: |
Size: 5120 |
Author:leozajung |
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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: 该压缩包主要是关于lasso的matlab程序，其中包含lasso的code,lasso在例子中的应用，以及lemda的交叉验证等。-The archive is mainly about lasso matlab program, which includes lasso the code, lasso in the example application, as well as cross-validation lemda like. Platform: |
Size: 5782528 |
Author:swan |
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Description: 单因变量偏最小二乘回归matlab程序
程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验
-Single dependent variable and partial least squares regression matlab
The program is not perfect, the fixed extract 3 principal components, do not seek the best number of principal components do not cross validation test Platform: |
Size: 1024 |
Author:mali |
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Description: 神经网络实例文件说明：
1. chapter26_lvq.m为主程序，将该文件夹设置为MATLAB当前工作路径，运行即可。
2. crossvalidation_lvq.mat为增加了交叉验证功能(确定最佳的隐含层神经元个数)的LVQ程序。
3. chapter26_bp.m为对比的BP程序。
4. data.mat为数据文件。
5. 该程序在MATLAB2009a版本下测试通过，个别函数在低版本中不存在或者调用格式有所不同，参照对应版本中的帮助文档修改即可。
-Examples of neural network file specifications:
1. chapter26_lvq.m main program, the folder is set to MATLAB current working directory, run it.
2. crossvalidation_lvq.mat to increase cross-validation (to determine the optimal number of neurons in the hidden layer) of LVQ program.
3. chapter26_bp.m contrast to BP for the program.
4. data.mat data file.
5. The program in MATLAB2009a version tested, the individual does not exist or function call format is different, with reference to the corresponding version of the revised document to help low version. Platform: |
Size: 90112 |
Author:LIULIU |
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Description: 采用10折交叉验证得到光合速率预测模型，代码中有程序语言的详细注释。(The 90% off cross validation of photosynthetic rate prediction model, the procedures detailed notes in the language code.) Platform: |
Size: 1024 |
Author:fsdfsdfsdfsd
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Description: 对于一个具体的数据，用交叉验证进行分类，随机森林进行训练，用AUC,AUPR,Precision评价分类器的性能(For a specific data, use cross validation to classify, train random forests, evaluate the performance of the classifier with AUC, AUPR, and Precision.) Platform: |
Size: 19456 |
Author:Katherine_ |
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Description: 交叉验证及带例子的支持向量机回归代码，修改可用。(Cross validation and support vector machine regression code with examples can be modified.) Platform: |
Size: 20480 |
Author:vein |
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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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