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SVM实例教程,如果对支持向量机有兴趣的人,可以下载来学习,适合初学者,-SVM tutorial examples for beginners
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下载文件列表
SVM实例教程
...........\1 初识SVM分类与回归
...........\...................\Chapter_ClassifyRegressUsingLibsvm.m
...........\...................\heart_scale.mat
...........\...................\html
...........\...................\....\Chapter_ClassifyRegressUsingLibsvm.html
...........\...................\....\Chapter_ClassifyRegressUsingLibsvm.png
...........\...................\....\Chapter_ClassifyRegressUsingLibsvm_01.png
...........\2 LIBSVM参数实例详解
...........\....................\Chapter_ModelDecryption.m
...........\....................\heart_scale.mat
...........\....................\html
...........\....................\....\Chapter_ModelDecryption.html
...........\3 基于SVM的数据分类预测——意大利葡萄酒种类识别
...........\...............................................\chapter_WineClass.m
...........\...............................................\chapter_WineClass.mat
...........\...............................................\html
...........\...............................................\....\chapter_WineClass.html
...........\...............................................\....\chapter_WineClass.png
...........\...............................................\....\chapter_WineClass_01.png
...........\...............................................\....\chapter_WineClass_02.png
...........\...............................................\....\chapter_WineClass_03.png
...........\4 SVM的参数优化——如何更好的提升分类器的性能
...........\.............................................\chapter_GA.m
...........\.............................................\chapter_GridSearch.m
...........\.............................................\chapter_PSO.m
...........\.............................................\html
...........\.............................................\....\chapter_GA.html
...........\.............................................\....\chapter_GA.png
...........\.............................................\....\chapter_GA_01.png
...........\.............................................\....\chapter_GA_02.png
...........\.............................................\....\chapter_GA_03.png
...........\.............................................\....\chapter_GA_04.png
...........\.............................................\....\chapter_GridSearch.html
...........\.............................................\....\chapter_GridSearch.png
...........\.............................................\....\chapter_GridSearch_01.png
...........\.............................................\....\chapter_GridSearch_02.png
...........\.............................................\....\chapter_GridSearch_03.png
...........\.............................................\....\chapter_GridSearch_04.png
...........\.............................................\....\chapter_GridSearch_05.png
...........\.............................................\....\chapter_GridSearch_06.png
...........\.............................................\....\chapter_GridSearch_07.png
...........\.............................................\....\chapter_PSO.html
...........\.............................................\....\chapter_PSO.png
...........\.............................................\....\chapter_PSO_01.png
...........\.............................................\....\chapter_PSO_02.png
...........\.............................................\....\chapter_PSO_03.png
...........\.............................................\....\chapter_PSO_04.png
...........\.............................................\wine.mat
...........\5 基于SVM的回归预测分析——上证指数开盘指数预测
...........\...............................................\QuaternaryLactose.mat
...........\...............................................\chapter_sh.m
...........\...............................................\chapter_sh.mat
...........\...............................................\html
...........\...............................................\....\chapter_sh.html
...........\...............................................\....\chapter_s