Description: 支持向量机的工具箱,功能比较齐全,安装在MATLAB的TOOBOX目录里面即可-Support Vector Machine Toolbox, function relatively complete, the installation directory in the MATLAB-TOOBOX inside can Platform: |
Size: 363520 |
Author:小楼 |
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Description: SVM的matlab工具箱，可以实现支持向量基的分类和回归问题-SVM toolbox of matlab, you can realize support vector-based classification and regression problems Platform: |
Size: 150528 |
Author:张瑞 |
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Description: Matlab源代码，包括支持向量机分类算法（SVC_C，SVC_Nu）,回归算法（SVR_Epsilon，SVR_Nu）,以及One-Class算法。-Matlab source code, including support vector machine classification algorithm (SVC_C, SVC_Nu), regression algorithm (SVR_Epsilon, SVR_Nu), as well as the One-Class algorithm. Platform: |
Size: 228352 |
Author:李志 |
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Description: 很好用的svm工具箱，dagsvm对于图像分类效果非常好，分类精度很高，代码清洗简单。-Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy. Platform: |
Size: 5120 |
Author:tang |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
Size: 4271104 |
Author:查日东 |
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Description: 支持向量机方面的，是Steve R Runn的svm工具箱的说明文件，-Aspects of support vector machine is the Steve R Runn documentation svm toolbox, huh, huh Platform: |
Size: 124928 |
Author:liuzhonghua |
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Description: 这是一个关于最小二乘支持向量机的MATLAB仿真的例子，希望能给大家带来方便。-This is a least squares support vector machine on the MATLAB simulation examples, we hope that they will be convenient. Platform: |
Size: 31744 |
Author:蔡蓓蓓 |
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