Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it. Platform: |
Size: 172032 |
Author:金星 |
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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: SVM用于模式识别
整理别人的代码（原来的是英文）所得：
kernel.m用于内积矩阵的计算
svcplot.m用于绘图
svm168.m是主程序
testlin.m是采用线形内积函数的支持向量机应用的 文件
testrbf.m是采用RBF内积函数的支持向量机应用 的 文件
每个文件中都有说明。
仿真平台matlab7.0, 仿真全部通过
将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。
打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。
-SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results. Platform: |
Size: 6144 |
Author:郑军 |
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Description: 支撑矢量机
class CvSVM : public CvStatModel //继承自基类CvStatModel
{
public:
// SVM type
enum { C_SVC=100, NU_SVC=101, ONE_CLASS=102, EPS_SVR=103, NU_SVR=104 } //SVC是SVM分类器，SVR是SVM回归
// SVM kernel type
-class Support Vector Machine CvSVM : public CvStatModel// inherited from the base class CvStatModel (ed ic :// SVM type enum (C_SVC = 100, NU_SVC = 101, ONE_CLASS = 102, EPS_SVR = 103, NU_SVR = 104)// SVC is SVM classifier, SVR is the return of SVM// SVM kernel type Platform: |
Size: 7168 |
Author:李刚 |
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Description: 基于核分析的多类分类器，支持向量机的多类分类，适合研究学习，欢迎同行下载-Kernel-based analysis of the many types of classifier, support vector machine multi-category classification, suitable for study of learning, welcomed the peer download Platform: |
Size: 417792 |
Author:lwen |
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Description: svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc. Platform: |
Size: 228352 |
Author:孟祥 |
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Description: This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data. Platform: |
Size: 260096 |
Author:SUNGWOONG KIM |
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Description: 国外几篇比较新的关于支持向量机及其核函数和分类的文章-Abroad on a few relatively new support vector machine and kernel function and classification of the article Platform: |
Size: 3392512 |
Author:邓九国 |
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Description: SVM源代码程序，包含了SVM的各个子模块-SVM source code program, including the various sub-modules of the SVM Platform: |
Size: 151552 |
Author:lo.wen.wng |
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Description: kernel adatron, svm impelemtation using gradient ascent method, fast and accurate for solving SVM problem with two classes Platform: |
Size: 5120 |
Author:budi santosa |
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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: In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition Platform: |
Size: 2048 |
Author:sofi |
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Description: In kernel ridge regression we have seen the final solution was not sparse in the variables ® .
We will now formulate a regression method that is sparse, i.e. it has the concept of support
vectors that determine the solution.
The thing to notice is that the sparseness arose from complementary slackness conditions
which in turn came from the fact that we had inequality constraints. In the SVM the penalty
that was paid for being on the wrong side of the support plane was given by C
P
i » k
i for
positive integers k, where » i is the orthogonal distance away from the support plane. Note
that the term jjwjj2 was there to penalize large w and hence to regularize the solution.
Importantly, there was no penalt Platform: |
Size: 51200 |
Author:bahman |
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Description: 支持向量机SVM和核函数的matlab程序集,压缩包中包含常用的各种SVM函数，-Support vector machine and kernel function SVM matlab assembly, compressed package that contains a variety of commonly used SVM function Platform: |
Size: 4467712 |
Author:Zhang Zhen |
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Description: 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms, and two and a support vector machine decision tree classification algorithm of moving objects. Platform: |
Size: 544768 |
Author:piano |
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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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Description: 利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can greatly improve the robustness. In the actual process, readers can quickly grasp relevant knowledge and use this method by downloading the code I uploaded, simply modifying and reading the attached paper.) Platform: |
Size: 5505024 |
Author:ddyecust@163.com |
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Search - kernel svm matlab