Search - 交叉验证

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[matlab] 支持向量机参数优化 DL : 1: 对支持向量机的参数 C和g 进行了参数优化，分三种：交叉验证优化、遗传算法优化和粒子群算法优化。
Update : 2010-09-24 Size : 277.67kb Publisher : ruanjunhu
[GUI Develop] svm_toolbox DL : 0: 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.).
Update : 2025-02-19 Size : 242kb Publisher : 王晓
[AI-NN-PR] crossvalidate DL : 0: 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
Update : 2025-02-19 Size : 230kb Publisher : hehuixin
[AI-NN-PR] PRAssign DL : 0: 脱机手写体识别Matlab源程序包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 -Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification
Update : 2025-02-19 Size : 6kb Publisher :
[Mathimatics-Numerical algorithms] svm-crossvaldition DL : 0: 采用c++编写的有关svm交叉验证的程序。-Used c++ Prepared by the SVM cross-validation procedure.
Update : 2025-02-19 Size : 158kb Publisher : 赵菁
[AI-NN-PR] libsvm-2.85-dense DL : 0: LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.
Update : 2025-02-19 Size : 24kb Publisher : 刘铁军
[AI-NN-PR] crossvalidate DL : 0: 十折交叉验证方法的matlab code 再模式识别中是一个非常重要的试验方法-a very important technique crossvalidate in pattern recognazition
Update : 2025-02-19 Size : 1kb Publisher : zhupengfei
[AI-NN-PR] AI_Blood DL : 0: 本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器，并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用 10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constructed, and the test data sets to classify forecasts, while the calculation of the Accuracy, Precision, Recall and F-measure , using 10-fold cross-validation of experimental methods.
Update : 2025-02-19 Size : 987kb Publisher : andy
[Other] smlr.m DL : 0: 编写的多元回归的交叉验证程序可供做预测模型的同仁参考-Prepared by the multiple regression of cross-validation procedure
Update : 2025-02-19 Size : 1kb Publisher : 娃娃
[matlab] jiaocha DL : 0: 图像分类中的交叉验证方法，比如说，一个训练集集合，为了得到其中参数的较准确值，就可以使用此类算法-Image Classification Based on cross-validation method, for example, a collection of training set, in order to obtain more accurate values of these parameters, you can use these algorithms
Update : 2025-02-19 Size : 1kb Publisher : 苏晓蕾
[matlab] sinPolyfit DL : 0: Matlab 实现多项式曲线拟合（正弦曲线），交叉验证（十折交叉验证）-poly fit ，cross validation
Update : 2025-02-19 Size : 1kb Publisher : luoyong
[matlab] P411 DL : 0: 模式识别作业第411面的源程序，实现交叉验证算法-Pattern recognition operations side of the source 411 to achieve cross-validation algorithm
Update : 2025-02-19 Size : 2kb Publisher : yuchang
[matlab] SVMcgForClass DL : 2: libsvm的参数c，g的交叉验证子函数-libsvm parameters c, g the cross-validation Functions
Update : 2025-02-19 Size : 1kb Publisher :
[matlab] crossvalind DL : 0: matlab的svm中使用的交叉验证函数（kfold），一般libsvm数据包中没有，需要自己加入-The svm matlab to use the cross-validation function (kfold), general packet libsvm no need to add yourself
Update : 2025-02-19 Size : 3kb Publisher : weiqier
[matlab] bp DL : 0: 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.
Update : 2025-02-19 Size : 98kb Publisher : fukaifang
[matlab] CV_split_data DL : 0: 交叉验证源程序评价模型性能的一种方式-cross validation
Update : 2025-02-19 Size : 1kb Publisher : liang
[Documents] 10折交叉验证(神经网络) DL : 2: matlab进行十折交叉验证神经网络，用于预测(Matlab performs ten fold cross validation using neural networks)
Update : 2025-02-19 Size : 11kb Publisher : 舟山渔夫
[matlab] 分类器评估及交叉验证_代码 DL : 0: 内有鸢尾花数据的5折交叉验证实验代码，采用的分类器是贝叶斯分类器。(There is a 5-fold cross-validation experiment code for the iris data, and the classifier used is a Bayesian classifier.)
Update : 2025-02-19 Size : 15kb Publisher : The_one
[Mathimatics-Numerical algorithms] matlab贝叶斯分类(2)-10折10次交叉验证 DL : 0: 利用matlab实现贝叶斯分类，采用10折10次交叉验证法选取训练集和测试集，进行循环测试，最后返回准确率为0.9184.另外，文件内含数据源。(The Bias classification is realized by MATLAB, and the training set and test set are selected by 90% off 10 times cross validation method, and the cycle test is carried out. Finally, the accuracy rate is 0.9184., and the file contains the data source.)
Update : 2025-02-19 Size : 3kb Publisher : 网安贝
[AI-NN-PR] 交叉验证及svr DL : 0: 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.)
Update : 2025-02-19 Size : 20kb Publisher : vein

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