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Description: 基于.net平台的svm可执行文件和DLL还有libsvm源码讲解的电子书.
Platform: |
Size: 720748 |
Author: 陈秀月 |
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Description: OpenSVM was developped under Visual C++ 6.0 SP6,
You can open the workspace file(*.dsw) in the opensvm-src folder.
The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rights reserved) in the opensvm-src\\libsvm.
However, the files svm.h and svm.cpp codes were copied/merged into stdafx.h and stdafx.cpp in order to support the development, and OpenSVM still use other codes of libsvm.
So you can see the libsvm package in the source package.
You can open and build it with Visual C++ 6.0.
Note: the problems must be in LIBSVM format.
OpenSVM project page:
http://sourceforge.net/projects/opensvm
If you had any question, please mail to:
cloudbyron@gmail.com
Platform: |
Size: 621367 |
Author: njustyw |
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Description: 机器学习各种分类器代码，C#。
包括AdaBoost,DecisionStump,NearestNeighbout,SVM等，包括测试数据的生成
Platform: |
Size: 10894906 |
Author: dyzhao |
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Description: 关于支持向量机的电子书介绍(英文版)
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Size: 191838 |
Author: zwf |
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Description: 支持向量机程序,非常有用,可以供大家实验使用,改进.希望能多大家工作有帮助.-SVM procedures, could be extremely useful for all experimental use, improve. We hope that more work can be helpful.
Platform: |
Size: 449536 |
Author: tjk |
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Description: 基于.net平台的svm可执行文件和DLL还有libsvm源码讲解的电子书.-Based on. Net platform executable files and DLL SVM libsvm also explain the source of the e-book.
Platform: |
Size: 720896 |
Author: 陈秀月 |
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Description: OpenSVM was developped under Visual C++ 6.0 SP6,
You can open the workspace file(*.dsw) in the opensvm-src folder.
The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rights reserved) in the opensvm-src\libsvm.
However, the files svm.h and svm.cpp codes were copied/merged into stdafx.h and stdafx.cpp in order to support the development, and OpenSVM still use other codes of libsvm.
So you can see the libsvm package in the source package.
You can open and build it with Visual C++ 6.0.
Note: the problems must be in LIBSVM format.
OpenSVM project page:
http://sourceforge.net/projects/opensvm
If you had any question, please mail to:
cloudbyron@gmail.com
Platform: |
Size: 620544 |
Author: njustyw |
Hits:
Description: 机器学习各种分类器代码，C#。
包括AdaBoost,DecisionStump,NearestNeighbout,SVM等，包括测试数据的生成-A variety of machine learning classifier code, C#. Including AdaBoost, DecisionStump, NearestNeighbout, SVM, including the generation of test data
Platform: |
Size: 10894336 |
Author: dyzhao |
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Description: 关于支持向量机的电子书介绍(英文版)-On support vector machine introduction of e-books (in English)
Platform: |
Size: 191488 |
Author: zwf |
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Description: 传统支持向量机的c#源代码,很好用的...
-traditional svm c# code
Platform: |
Size: 57344 |
Author: zwf |
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Description: 这是一个机器学习的通用算法库，用.NET编写，实现了SVM,K-MEANS聚类等经典的机器学习算法-This is a general purpose machine learning algorithms library, use. NET prepared to achieve the SVM, K-MEANS clustering and other classic machine learning algorithms
Platform: |
Size: 1065984 |
Author: Juanna |
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Description: 这是我在网上找了很久的多分类支持向量机matlab代码，欢迎交流！-This is my search on the net for a long time many classification support vector machine matlab code, welcome exchanges!
Platform: |
Size: 399360 |
Author: chenzaoxin |
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Description: 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural net based remote sensing image classification has obtained good results. But neural net has inherent
flaws such as overfitting and local minimums. Support vector machine (SVM), which is based on Structural Risk Min-
imization(SRM), has shown much better performance than most other existing machine learning methods. Using mul-
ti-class SVM classifier high class rate of 95.4 is obtained. But for the class number of remote sensing image is much
great, manually obtaining of training samples is a much time-consuming work. So a multi-class SVM based semi-super-
vised approach is presented. It is choosed that the initial clustering centroids manually first, then label the samples as
the training ones automatically with fuzzy clustering algorithm. It is believed that this method will upgrade the classifi-
cation efficiency greatly with practicable class rate
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Size: 25600 |
Author: cissy |
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Description: csharp实现的SVM,以及相应的使用示范-csharp.net svm and svmdemo
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Size: 70656 |
Author: wzz |
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Description: 利用网格搜索，来自行选择SVM的参数，主要对C和sigma-use net search to choose the C and sigma
Platform: |
Size: 1024 |
Author: 赵坤 |
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