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Description: 这是我自己写的一个关于svm的核程序,希望对正在学习的朋友有所帮助.-that I wrote on a svm nuclear procedures in the hope that the friends are learning some help.
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Size: 2048 |
Author: oliver |
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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
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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
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Size: 417792 |
Author: lwen |
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Description: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods。一本关于支持矢量机的英文入门书籍。-An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. A support vector machine on the entry of books in English.
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Size: 3903488 |
Author: 余少华 |
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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.
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Size: 228352 |
Author: 孟祥 |
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Description: svm 核函数的选择与构造 在matlab中运行-svm kernel function and structure of the choice to run in matlab
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Size: 1024 |
Author: 丛宽 |
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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
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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
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Size: 151552 |
Author: lo.wen.wng |
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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
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Size: 1024 |
Author: yyifang |
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Description: svm 信号理论的核参数估计，这是一篇ieee上下载的文章，与大家分享学习，谢谢。-SIGNAL THEORY FOR SVM KERNEL PARAMETER ESTIMATION
. D. B. Nelson, R. L Damper, S. R. Gunn and B. Guo
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Size: 3296256 |
Author: 杨泉 |
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Description: 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。-Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.
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Size: 778240 |
Author: 谌叶龙 |
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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
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Size: 2048 |
Author: sofi |
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Description: stprtool--SVM内核生产svm_mex.dll 用于其他SVM训练用-stprtool- SVM kernel production svm_mex.dll used for other SVM training with
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Size: 4180992 |
Author: |
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Description: A method for classification of image using svm kernel
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Size: 1024 |
Author: mina |
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Description: 用于实现支持向量机的核函数，常用的四种，多项式，线性，高斯-Used to implement SVM kernel function, four common
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Size: 1024 |
Author: 程泽 |
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Description: svm核主成分分析，简单实用，毕业论文程序-svm kernel principal component analysis, simple and practical, graduation procedures
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Size: 181248 |
Author: chenhua |
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Description: A distributed PSOSVM hybrid system with feature selection and parameter optimization
-Abstract
This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the
continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO–SVM
data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a
heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the
client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also
achieve high classification accuracy.
# 2007 Elsevier B.V. All rights reserved.
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Size: 565248 |
Author: alice |
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Description: 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel parameter selection method, and use a different color, texture features for image classification.
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Size: 3573760 |
Author: ww1 |
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Description: SVM核函数源代码，用matlab语言编写的，适用于分类及相关问题的分析-The SVM kernel function source code, written with matlab language, suitable for classification and analysis of the related problem
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Size: 1024 |
Author: panxinghui |
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Description: Types of Support Vector Machines (svm) kernel
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Size: 1024 |
Author: fereshteh1
|
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