Search - cross validation

Search - cross validation - List

[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 : 2025-02-17 Size : 242kb Publisher : 王晓
[Other] svm_v0.01beta.tar DL : 0: 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 : Support for multi-class pattern recognition u maxwins sing, Pairwise [4] and DAG- SVM [5] algorithms. A mode l selection criterion (the xi-alpha bound [6, 7] on the leave-one-out cross-validation erro r).
Update : 2025-02-17 Size : 42kb Publisher : 吴成
[Algorithm] pls_core DL : 0: PLS计算 Cross-Validation模型计算-PLS calculated Cross-Validation model
Update : 2025-02-17 Size : 4kb Publisher : 候海
[Graph program] fs-kfda DL : 0: Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation. FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fisher discrim inant analysis using leave-one-out cross vali dation. FS-KFDA is a package for implementing f eature scaling for kernel fisher discriminant analysis.
Update : 2025-02-17 Size : 499kb Publisher :
[Other] MLC21NT-C DL : 0: machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorithms, discretization, lazy learning, bagging, MineSet. -machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive- bayes, decision tables, the majority, induction algorithms, classifiers, categorizers, general logic diagrams. instance-based algorithms, discretization. lazy learning, bagging, MineSet.
Update : 2025-02-17 Size : 3.01mb Publisher : infinite8
[matlab] pca5_fold DL : 0: 模式识别中pca 5-fold交叉检验算法-pattern recognition pca 5-fold cross-validation algorithm
Update : 2025-02-17 Size : 1kb Publisher : 文秋婷
[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 : 2025-02-17 Size : 230kb Publisher : hehuixin
[matlab] mypcacv DL : 0: Performs Principal Component Analysis cross validation to determine the true rank of an X-block.-Performs Principal Component Analysis cr oss validation to determine the true rank of an X- block.
Update : 2025-02-17 Size : 1kb Publisher : 李楠
[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 : 2025-02-17 Size : 158kb Publisher : 赵菁
[JSP/Java] java DL : 0: 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。-LIBSVM is林智仁Taiwan University (Lin Chih-Jen), associate professor of design, such as the development of a simple, easy-to-use and fast and efficient pattern recognition and regression SVM package, he compiled to provide not only a series of systems in the Windows implementation of file , also provided the source code to facilitate the improvements, modifications as well as in other operating systems applications the software also has a feature of SVM is to adjust the parameters involved are relatively small, with a lot of the default parameters, use the default parameters can solve many problems and to provide a cross-validation (Cross Validation) function.
Update : 2025-02-17 Size : 77kb Publisher : 陈耀宇
[matlab] NIPALS DL : 1: NIPALS 算法留1法交叉检验绘图 -NIPALS algorithm cross-validation method to stay one mapping
Update : 2025-02-17 Size : 3kb Publisher : 贾润达
[Algorithm] gcv DL : 0: GCV Generalized cross-validation.广义交叉校验,用做非线性时间序列的计算，非常有用，找了好久才找到的。不要错过机会哦-GCV Generalized cross-validation. Generalized cross-validation, using nonlinear time series to do the calculation, is very useful to find for a long time to find the. Oh, do not miss the opportunity to
Update : 2025-02-17 Size : 2kb Publisher : zhxj
[matlab] PLSCV DL : 1: PRINCIPLE: PLS cross-validation using the SIMPLS or WIMPLS algorithm, respectively for tall or wide X-data. The optimal approach is selected automatically.
Update : 2025-02-17 Size : 2kb Publisher :
[Windows Develop] loo DL : 0: The leave-one-out cross-validation scheme is a method for estimating ％ the average generalization error. When calling ％ [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) with trparms(1)>0, the network ％ will be retrained a maximum of trparms(1) iterations for each input-output ％ pair in the data set, starting from the initial weights (W1,W2). If ％ trparms(1)=0 an approximation to the loo-estimate based on "linear ％ unlearning" is produced. This is in general less accurate, but is much ％ faster to calculate.-The leave-one-out cross-validation scheme is a method for estimating the average generalization error. When calling [Eloo, H] = loo (NetDef, W1, W2, PHI, Y, trparms) with trparms (1)> 0, the network will be retrained a maximum of trparms (1) iterations for each input-output pair in the data set, starting from the initial weights (W1, W2). If trparms (1) = 0 an approximation to the loo-estimate based on linear unlearning is produced. This is in general less accurate, but is much faster to calculate.
Update : 2025-02-17 Size : 3kb Publisher : 张镇
[matlab] libsvm-2.88 DL : 0: 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 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 : 2025-02-17 Size : 506kb Publisher : 小潘
[Compress-Decompress algrithms] Cross-Entropy DL : 0: 交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用-Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of
Update : 2025-02-17 Size : 298kb Publisher : 黄路遥
[AI-NN-PR] CrossValidationTest20081008203828 DL : 0: classification cross validation
Update : 2025-02-17 Size : 1kb Publisher : tim
[Other systems] FFAlta DL : 0: cross validation of test data
Update : 2025-02-17 Size : 1kb Publisher : helpme
[Other systems] FFAltaCross DL : 0: cross validation of training data
Update : 2025-02-17 Size : 1kb Publisher : helpme
[matlab] cross-validation DL : 0: matlab交叉验证cross Validation，把样本集分为训练集和测试集，防止网络出现过拟合，提高网络的泛化能力和预测精度-cross Validation for matlab，to estimate the test accuracy,training accuray and validation accuracy of a neural network
Update : 2025-02-17 Size : 1kb Publisher : 周杰伦

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