Description: 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.). Platform: |
Size: 247586 |
Author:王晓 |
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Description: 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.). Platform: |
Size: 247808 |
Author:王晓 |
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Description: psotoolbox程序已经通过了测试函数，可用来进行svm或ann的参数优化
-psotoolbox process has passed the test function, can be used to carry out or ann SVM Parameter Optimization Platform: |
Size: 97280 |
Author:徐冲 |
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Description: 经典的支持向量机SVM用于分类的MATLAB程序,可用于辨识,分类和参数优化!-Classical SVM support vector machine for classification of MATLAB procedures, can be used for identification, classification and parameter optimization! Platform: |
Size: 2048 |
Author:ncepu_ly |
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Description: 在做2維度樣本分類的過程中,若我們能事先畫出訓練樣本在空間中的分散情形,這將有助於我們在設定SVM分類器的參數C的取值範圍. 例如:若畫出的訓練樣本的散佈較分散,我們可以得知此時採用的參數值可以取在較大的範圍. 所以本程式也是讓想要畫出資料樣本在平面的散佈情形者之一各可行工具.-2 dimensions in a sample to do the classification process, if we were able to pre-draw training samples dispersed in space situation, this will help us in setting the parameters of SVM classifier C range. For example: If the draw training samples to spread more decentralized, we can know at this time using the parameter values can be chosen in a larger scope. So let this program is also want to draw information on the spread of samples in the planar case, one of the possible tools. Platform: |
Size: 1024 |
Author:worthwhile |
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Description: 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 Platform: |
Size: 2048 |
Author:张瑞 |
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Description: gmmTrain: Parameter training for gaussian mixture model (GMM) -gmmTrain: Parameter training for gaussian mixture model (GMM) Platform: |
Size: 2048 |
Author:鲁剑锋 |
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Description: SVM 的代码,工具箱的使用内部有详细的说明,请读者看看Matlab代码中参数使用,将训练数据以矩阵形式输入,即可使用-SVM code, the use of the toolbox there are detailed instructions, please take a look at Matlab code readers parameter use, will be a matrix of training data input, you can use Platform: |
Size: 73728 |
Author:潘志 |
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Description: 里面有两个实验，包括PPT和实验的代码，可以帮助一些想学习神经网络的朋友一个大忙。-We now have an easy script (easy.py) for users who know NOTHING about svm. It makes everything automatic--from data scaling to parameter selection.
The parameter selection tool grid.py generates the following contour of cross-validation Platform: |
Size: 933888 |
Author:baiyunqiu |
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Description: 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 Platform: |
Size: 139264 |
Author:覃茂运 |
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Description: 这是一个用pso优化SVM中的惩罚参数C和核参数g的MATLAB源码，简单易学-This is an optimization of SVM with the pso in the penalty parameter C and kernel parameter g of the MATLAB source code, easy to learn Platform: |
Size: 1024 |
Author:yyifang |
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Description: 一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验结果表明,该方法简便实用,对光照、污迹等不敏感,抗干扰能力强。-New Method of a license plate image correction
Abstract caused due to camera angles, the image tilt motor vehicle license will have on its subsequent recognition of characters segmentation and adverse effects. Based on the analysis of the inclined plate model based on proposed based on least squares support vector machine (LS-SVM) of the license plate Skew new approach. By LS-SVM linear regression algorithm to strike a coordinate transformation matrix and rotate the image distortion correction. Main methods: First, the value of the two inclined plate in the image pixel is converted to two-dimensional coordinates of the sample, and construct the image data sets then the linear regression through the LS-SVM regression algorithm for the data set to strike a key parameter final , and then by the parameter is converted to reflect the tilt direction of two-dimensional image coordinate transformation matrix. The experimental results show that the method is simple and practical, to light, Platform: |
Size: 301056 |
Author:Leo |
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Description: matlab编写的调整svm参数的程序，其中cross是主程序，另两个是自己编写的svm核函数，如果要用matlab自带的核函数就把-t的值改成2即可。Ytrain是标记矩阵，Xtrain是特征矩阵，都由用户自己导入。可利用k倍交叉验证来选择最优的c参数。k可自行更改。-svm matlab prepared to adjust the parameters of the program, which cross the main program, and the other two are themselves prepared svm kernel function, if you use the value of the kernel function matlab own put-t can be changed to 2. Ytrain is labeled matrix, Xtrain is characteristic matrix, imported by the users themselves. K-fold cross-validation can be used to select the optimal c parameter. k can make changes. Platform: |
Size: 1728512 |
Author:wang |
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Description: 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 Platform: |
Size: 623616 |
Author:guolei |
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Description: SVM中常用的核函数，可直接通过调参使用(The common kernel function in SVM can be used directly by adjusting parameter) Platform: |
Size: 1024 |
Author:Yao_lx |
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Description: cs算法优化svm的惩罚参数c和核函数的参数gamma。(The CS algorithm optimizes the penalty parameter C of SVM and the parameter gamma of kernel function.) Platform: |
Size: 17408 |
Author:哈哈哈哈325879 |
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Search - SVM matlab parameter