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libsvm-mat-2[1].9-11
- 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。该软件包可以在http://www.csie.ntu.edu.tw/~c
PLS
- M-files for PLS, PLS-DA, with leave-one-out cross-validation and prediction
Density_Estimation
- 分别采用GMM和KDE对Iris数据集进行密度建模,并进行对比。通过EM算法来确定GMM参数,通过交叉验证来确定K值-GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation
FeatureSelection_MachineLearning
- Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for
bp
- 一个matlab写的bpANN程序,参数优化采用交叉验证办法.-Write a matlab bpANN process parameter optimization using cross-validation approach.
CV_split_data
- 交叉验证源程序 评价模型性能的一种方式-cross validation
Adaptive-Embedding-Dimension
- 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
BPcrossvalind
- 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.
Comparison-of-Bayesian-and-fisher
- 训练错误率和交叉验证错误率相等,在样本比较大时,这个结果是可以预期的;训练错误率一般低于测试错误率,但是当样本数据比较少时,实验也出现了意外,样本多的那组测试错误率比样本少的训练错误率还要小;在本实验中,同组数据的交叉验证错误率比独立测试错误率高,这个反常现象是因为样本的原因所致,交叉验证的样本小,而独立测试时所用训练样本数目大,因而出现这种情况。分类线上,fisher准则是一条直线,而贝叶斯分类器实际上是一个类似椭圆的封闭曲线;很明显,贝叶斯分类器比fisher分类器要好。-Training
Adaptive-Online-Learning
- 基于EKF的神经网络自适应在线学习算法,包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and
chapter8
- chapter8_1.m为使用交叉验证的GRNN神经网络预测程序 chapter8_2.m为BP和GRNN效果比较程序-chapter8_1.m for the GRNN neural network prediction program using cross-validation chapter8_2.m for BP and GRNN effect of the program
locv
- 最先进的KPCA主成分提取法,加最先进的高斯SVM法,再加传统的交叉验证学习预测法。-The most advanced KPCA principal components extraction method, and the most advanced gaussian SVM method, then add the traditional cross validation forecast method of learning.
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. ,
read
- CVPARTITION Create a cross-validation partition for data. An object of the CVPARTITION class defines a random partition on a set of data of a specified size. This partition can be used to define test and training sets for validating a statis
libsvm-2.9
- 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,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件包可在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软
evaluation
- Evaluates classifiers with cross validation
randmaker
- 该程序用于十折交叉验证,对原数据集进行随机划分。-The procedure used for the ten-fold cross-validation randomly divided the original data set.
crossvalidate
- 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
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