搜索资源列表
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
fastsvm1
- 机器学习大牛Dale Schuurmans写的多类SVMs的快速实现算法，可以自己修改核函数，通过K-fold cross validation训练得到最优参数，分类效果很好-Machine learning large cattle Dale Schuurmans write multi-class SVMs fast algorithm, can modify the kernel function, the optimal parameters through K-fold cross v
mat
- 对iris数据集分类 采用bp网络 利用交叉验证优化参数-Classification of the iris data set bp network use of cross-validation optimization parameters
svm
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能-The LIBSVM Taiwan University Chih- J
ruqinjiance-svm
- 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, p
MVAbankruptcydis
- Successful classification ratio dynamic over the number of terminal nodes: cross-validation
KNN
- Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. T
cross_validation
- This a code for doing cross validation in a case of Batik classification-This is a code for doing cross validation in a case of Batik classification
RBF-and-Crossvalid
- 这个代码的特点是对神经网络中的RBF使用交叉验证-This code is featured on RBF neural network using cross-validation
featureSelection
- 利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。-The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscr ipt.
scoreMapping5.21
- 使用最小二乘法利用特征进行打分映射，并进行交叉验证-Using the least squares method using the mapping feature for scoring, and conduct cross-validation
classifier
- 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.
Appendix1B_K_cross_validation
- sourse code for cross validation
crossvalidate
- 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
knn_self
- 数据统计学习中的knn算法，实现对多组数据的交叉验证-Statistics Learning knn algorithm to achieve the multi-group cross-validation data
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
GRNN-
- 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
gcv
- 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.
gcv_function
- 对广义交叉验证算法（GCV）的计算的辅助程序。-The generalized cross-validation algorithm (GCV) calculation of auxiliary programs.
knn
- 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