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libsvm的参数寻优程序。针对SVR提供full gridsearch方式的参数寻优,主要用于SVM回归预测-libsvm optimization process parameters. Provide full gridsearch for SVR parameter optimization approach, mainly used for SVM regression prediction
Update : 2025-02-17 Size : 2kb Publisher : 张瑞

DL : 2
用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集,并完成归一化操作-Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run directly. UCI data sets used in the german data set, and complete normalization operation
Update : 2025-02-17 Size : 136kb Publisher : 覃茂运

livsvm参数寻优程序,率定libsvm做回归时的参数c,g-livsvm parameter optimization procedure, rate of return when the parameters of libsvm do c, g
Update : 2025-02-17 Size : 1kb Publisher : chongzi

DL : 0
支持向量机的方法在matlAB中实现,包括回归、以及分类等模块。此外,还有参数寻优的算法。-Support vector machine method is implemented in matlAB, including regression and classification module. In addition, parameter optimization algorithms
Update : 2025-02-17 Size : 106kb Publisher : 黄生志

支持向量机的源代码,可以实现分类和回归分析。-ctions on Intelligent Systems and Technology ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail. we show formulations used in LIBSVM: C-support vector classifica-tion (C-SVC), ν-support vector classification (ν-SVC), distribution estimation (one-class SVM), -support vector regression (-SVR), and ν-support vector regression (ν-SVR). We discuss the implementation of solving quadratic problems
Update : 2025-02-17 Size : 609kb Publisher : guolei
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