Description: 史蒂文-甘的支持向量机工具包，采用smo算法解决二次规划问题，c++编写嵌入使用-Steven- Support Vector Machines GAN toolkit smo algorithm used to solve quadratic programming problems, c++ Prepared embed the use of Platform: |
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Author:zhouweiqing |
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Description: 最小二乘支持向量 MATLAB源码 有说明-The SVM can
be seen as a method of training polynomial, radial basis function,
or multilayer perception classifiers, in which the weights
of the network are found by solving a quadratic programming (QP) problem with linear inequality and equality constraints. Platform: |
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Author:郭乐 |
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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 Platform: |
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Author:guolei |
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Search - svm matlab quadratic