Description: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
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Author:Mountain |
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Description: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
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Author:Mountain |
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Description: 台湾大学的使用SVM方法进行线性回归、分类的MATLAB程序-National Taiwan University, the use of SVM method of linear regression, classification procedures of the MATLAB Platform: |
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Author:bensonbb00 |
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Description: libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
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Author:baolij |
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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: |
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Author:张瑞 |
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Description: 支撑向量机SVM的工具LIBSVM，能够在windows平台下通过命令行使用，也可以在matlab下调用，适合于研究复杂条件下的分类问题-Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. Platform: |
Size: 518144 |
Author:雷源 |
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Description: 支持向量机工具箱一种，主要解决分类和回归等问题，它是在matlab环境下运行的。-A Support Vector Machine Toolbox, mainly to resolve issues such as classification and regression, which is running in the matlab environment. Platform: |
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Author:dongxu |
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Description: 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java interfaces
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Author:陳彥霖 |
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Description: 在线向量回归分析，有包涵一个例子和内定函数等-On-line vector regression analysis, there is an example of indulgence and unofficially functions, etc. Platform: |
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Author:李強 |
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Description: SVM是一种比较新比较流行的算法，常常用在分类问题和回归问题上。
libsvm相关的matlab代码-SVM is a relatively new algorithm is more popular, often used in classification and regression issues. libsvm-related matlab code Platform: |
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Author:susan |
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Description: libsvm工具箱，用于分类的绝佳工具，也可用于非线性回归及预测，或拟合，其中文本分类是其长项，回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a very good performance, Platform: |
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Author:陈墨 |
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Description: 台湾大学林智仁开发的libsvm的matlab最新版，可以实现分类、回归、预测的功能-Lin Zhiren Taiwan University developed the matlab libsvm latest version can be achieved classification, regression, prediction of functional Platform: |
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Author:张力 |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。-LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature. Platform: |
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Author:朱业林 |
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Description: 给文件是林贵人博士所开发的c版本支持向量机的源文件，是目前应用最广泛的源程序之一，适用于图像处理，线性拟合，分类等问题。-it is a toolbox of matlab,and the function is used to classify and regression,and so on. Platform: |
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Author:新江 |
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Description: SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。
Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机(Support Vector Machine，简称SVM)。支持向量机的提出有很深的理论背景。
支持向量机方法是在后来提出的一种新方法。
SVM的主要思想可以概括为两点:
它是针对线性可分情况进行分析，对于线性不可分的情况，通过使用非线性映射算法将低维输入空间线性不可分的样本转化为高维特征空间使其线性可分，从而使得高维特征空间采用线性算法对样本的非线性特征进行线性分析成为可能。
它基于结构风险最小化理论之上在特征空间中构建最优超平面，使得学习器得到全局最优化，并且在整个样本空间的期望以某个概率满足一定上界。(442/5000
SVM(Support Vector Machine) refers to Support Vector Machine, which is a common discriminant method. In the field of machine learning, it is a supervised learning model, which is usually used for pattern recognition, classification and regression analysis.
Vapnik et al. proposed another design criterion for linear classifier on the basis of years of statistical learning theory. The principle is also derived from linear separability, and then extends to linear inseparability. Even extending to the use of nonlinear functions, this classifier is called Support Vector Machine (SVM). The support vector machine has a deep theoretical background.) Platform: |
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Author:飛上云端 |
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Search - libsvm MATLAB regression