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svm_v0.01beta.tar
- New in this version: Support for multi-class pattern recognition using maxwins, pairwise [4] and DAG-SVM [5] algorithms. A model selection criterion (the xi-alpha bound [6,7] on the leave-one-out cross-validation error). -New in this version
MPI
- MPI实现交叉证验的实验代码，附有测试文件，运行在LInux系统，需要配置MPI环境。-MPI implementation of cross-validation of experimental code, accompanied by the test file, run LInux system, you need to configure the MPI environment.
crossMatch
- 交叉证验的多线程实现版本，附有代码的测试文件。需要在Linux下运行。，-Cross-validation of the multi-threaded implementation version of the test code is attached to the file. Need to run under Linux. ,
Test
- 非常好的5倍交叉验证的程序，可以进行svm分类，推荐大家使用，非常好的-Very good 5-fold cross-validation procedure, svm classification, we recommend using the very good
LOO
- 留一法交叉检验,用于得到留一法交叉检验系数-Leave one out cross-validation for the leave-one-out cross examination coefficient
lssvm_demo.m
- 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, Vanco
SVMclassifier
- generic implementation of SVM with cross validation . scikit learn is a dependency.
lasso_webpage_code_data
- 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.
pls
- 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 principa
chapter15_0
- svm 的参数优化，利用交叉验证法选择最优参数c g，最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of cross-validation method to the optimal parameter c g, and ultimately improve the training set classification accuracy，better improve the classifier performan