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Description: This document contains a general overview in the first few sections as well as a more detailed reference in later sections for SVMpython. If you re already familiar with SVMpython, it s possible to get a pretty good idea of how to use the package merely by browsing through svmstruct.py and multiclass.py. This document provides a more in depth view of how to use the package.
Note that this is not a conversion of SVMstruct to Python. It is merely an embedding of Python in existing C code. All code other than the user implemented API functions is still in C, including optimization.
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Size: 294584 |
Author: 王强 |
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Description: windows操作系统下的支持向量机算法实现工具包，支持多类别分类，功能强大！-windows operating system support vector machine algorithm tool kit, support multi-category classification, powerful!
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Size: 74752 |
Author: 刘志刚 |
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Description: This document contains a general overview in the first few sections as well as a more detailed reference in later sections for SVMpython. If you re already familiar with SVMpython, it s possible to get a pretty good idea of how to use the package merely by browsing through svmstruct.py and multiclass.py. This document provides a more in depth view of how to use the package.
Note that this is not a conversion of SVMstruct to Python. It is merely an embedding of Python in existing C code. All code other than the user implemented API functions is still in C, including optimization.
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Size: 293888 |
Author: 王强 |
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Description: 用c语言写的基于SVM的多分类源码,来自康奈尔大学,性能良好-C language used SVM-based classification of multi-source, from Cornell University, the performance of good
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Size: 77824 |
Author: CAOYANG |
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Description: 对支持向量机svm算法的改进算法，改算法简单，但只能分为两类。-On support vector machine algorithm SVM algorithm to algorithm is simple, but can only be divided into two categories.
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Size: 38912 |
Author: 赵蕾 |
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Description: 这里实现了基于四种SVM工具箱的分类与回归算法:
1、工具箱：LS_SVMlab
Classification_LS_SVMlab.m - 多类分类
Regression_LS_SVMlab.m - 函数拟合
2、工具箱：OSU_SVM3.00
Classification_OSU_SVM.m - 多类分类
3、工具箱：stprtool\svm
Classification_stprtool.m - 多类分类
4、工具箱：SVM_SteveGunn
Classification_SVM_SteveGunn.m - 二类分类
Regression_SVM_SteveGunn.m - 函数拟合
更详细的相关函数说明请通过help命令查看！-Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!
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Author: 杨愚根 |
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Description: svm 多类分类 输入多种色点，能够准确的按颜色分类
C#语言描述-SVM multiclass classification input a variety of color points, the ability to accurately color classification by C# Language Description
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Size: 2144256 |
Author: luliangliang |
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Description: 有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。
-Directed acyclic graph support vector (DAG-SVMS) multi-category classification methods, is a new multi-category classification methods. The method uses the smallest category of super-sphere that contains the level of classification as a basis. The experimental results show that using the method of multiclass classification with the classification method has been compared to a higher classification accuracy.
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Author: 苏苏 |
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Description: svm(支持向量机)分类算法本质上是二类分类器，实现多类分类的方法一般是将多类分类看作是多个一对多的二类分类器。本程序就是基于svmlight的svm多类分类器实现。对分类感兴趣的用户请参照。配合中文分词（参见我上传的程序），可实现中文多类分本分类。-svm (support vector machine) classification algorithm is essentially a second-class classifier, multi-category classification methods in general is to multiclass classification is more than one-to-many as second-class classifier. This procedure is based on many types of svmlight of SVM classifiers to achieve. Classification please refer to interested users. With the Chinese word segmentation (see my uploaded program), can be realized at the Chinese multi-category classification.
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Size: 566272 |
Author: maming |
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Description: 这里实现了四种SVM工具箱的分类与回归算法
1、工具箱：LS_SVMlab
Classification_LS_SVMlab.m - 多类分类
Regression_LS_SVMlab.m - 函数拟合
2、工具箱：OSU_SVM3.00
Classification_OSU_SVM.m - 多类分类
3、工具箱：stprtool\svm
Classification_stprtool.m - 多类分类
4、工具箱：SVM_SteveGunn
Classification_SVM_SteveGunn.m - 二类分类
Regression_SVM_SteveGunn.m - 函数拟合
觉得好就帮我顶一下帖子，要不沉了！
-Here to realize the four SVM toolbox Classification and Regression Algorithm 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox : stprtoolsvmClassification_stprtool.m- Multiclass Classification 4, Toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting to help me feel good on top of you post, or heavy!
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Author: fgqqd |
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Description: 些程序是对多类分类的另一种处理方法，一对一的，也同样进行了模糊化处理-These procedures is a multiclass classification Another way to deal with, one-on-one also had a deal with fuzzy
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Author: 陈凯 |
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Description: svm matlab toolbox（SVM的MATLAB工具箱）-svm matlab toolbox (SVM in MATLAB toolbox)
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Size: 125952 |
Author: vivi |
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Description: 有基于 matlav的svm软件工具，感觉挺好用的。里面有很多实例，稍加修改就可以使用。例如三分类问题：
1、输入三类数据xapp yapp
2、选择多类分类方法（一对多或一对一或m-svm）
3、设置参数
4、调用训练函数得到向量机参数
5、输入测试数据，得到预期结果。
-There is matlav based on the SVM-based software tools, I feel pretty useless. Inside there is a lot of examples you can use a little modification. Categories such as three questions: 1, three types of data input xapp yapp 2, selection multiclass classification methods (one-to-many or one-on-one or m-svm) 3, set the parameters of 4, call the training function to be vector machine parameters 5, enter test data, the expected results.
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Author: Misa |
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Description: 这是一个100 ％纯Java库，您可以使用适用于N元
分析技术的过程分为文本文件。
该计划包括几个不同的分类算法， namelly
支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gram
analysis techniques to the process of categorizing text files.
The package includes several different categorization algorithms, namelly
SVMs, Bayesian Logistic Regression, NN classification and a text compression
based algorithm. In the case of SVM and Bayesian Logistic Regression, a
"one-against-one" apprach is used for multiclass classification. For a more detailed description of these learning algorithms and the available options please consult the supplied javadocs.
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Author: liwen |
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Description: 很多关于svm多类分类的文章，国内国外都有
都是经常被引用的文章-svm multiclass
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Author: gj |
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Description: Multiclass SVM Design and Parameter Selection with Genetic Algorithms
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Author: Mourad |
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Description: SVM multiclass classifier
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Size: 1024 |
Author: ALi |
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Description: 利用SVM进行多分类的matlab 程序，m文件-Multi classification by using SVM matlab program, the m file
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Size: 1024 |
Author: 小晗 |
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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
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Author: guolei |
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Description: 基于多类的支持向量机SVM的算法简单介绍(Based on multiclass support vector machines, SVM algorithm is introduced briefly)
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Author: 胡小卢
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