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基于MATLAB支持向量机实验模型研究与设计
支持向量机作为一种优秀的学习方法，它具有理论完备、适应性强、全局优化、训练时间短、泛化性能好等优点，已成为当前国际机器学习界的研究热点，有着很好的应用前景。-MATLAB-based support vector machine experimental model of research and design support vector machine as an excellent way to learn, it has the adva
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支持向量机1111的matlab版，内容不错较为新颖 有很强的实用价值-Matlab version, support vector machine 1111 more novel has a strong practical value
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用matlab实现的基于马尔科夫模型和支持向量机的人脸识别系统。非原创，运行了效果很好，功能很强大。具体功能：可根据训练与测试样本生成数据库；计算人脸识别率（96.5 ）；可以识别出指定的图像；可以识别摄像头获取的人脸图像。-Matlab based on markov model and support vector machine (SVM) face recognition system. The original, run the effect is very good, the fun
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很好的基于支持向量机的MATLAB程序,里面包含有算例及改进算法-Good MATLAB based on support vector machine (SVM), which contains a numerical example and the improved algorithm
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很好的基于支持向量机的MATLAB程序,里面包含有算例及改进算法-Good MATLAB based on support vector machine (SVM), which contains a numerical example and the improved algorithm
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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脑机接口支持向量机工具箱最新版本,在matlab下安装使用,(Brain-machine interface support vector machine (SVM) toolbox, the latest version installed under the matlab,)
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