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一个SVM训练工具，能够快速对训练集训练，给出分类判别函数。-a training tool, the rapid training of the training set, the classification given discriminant function.
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用于汉字识别和分类的支持向量机SVMTEST测试算法,很好用啊-for Chinese character recognition and classification of SVM SVMTEST test algorithm is useful ah
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Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It can solve C-SVM classification,
nu-SVM classification, one-class-SVM, epsilon-SVM regression, and
nu-SVM regression. It also provides an automatic
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一种增量式支持向量机文本分类模型-an incremental SVM text classification model
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SVM经典调试程序,内有说明,应用简便,可用做回归分类方面的计算-SVM classic debugger, with a descr iption of applications is simple and can be used for classification of return calculation
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一篇关于SCM的综述性文章，SCM是一种比SVM分类性能更优秀的分类器。以后还会上传几篇有关SCM的文章-on SCM's a review article, SCM than SVM is a better classification performance classifier. After a few will upload the articles SCM
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这是支持向量机的一个程序，可以做回归和分类问题。如果有问题可以和作者联系。-SVM a procedure can be done regression and classification problems. If there's a problem and can contact the author.
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目前准确度最好的支持向量机分类算法,用C++编写.-accuracy of the current best SVM classification algorithm, C preparation.
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SVM Light的多分类源代码，尤其是可用来做文本分类。SVM（支持向量机）方法是目前已知的最优秀的分类方法之一。SVM不仅可以用来分类，也可以用来做回归。-SVM classification of more source code, in particular used to make text classification. Support Vector Machine (SVM) is currently the best known of the classification met
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基于SVM的文档分类，运行平台：Visual C++ 6.0和基于libsvm的编程环境下，应用Reuters-21578语料库对系统进行评测。-SVM-based document classification, operating platforms : 6.0 and Visual C libsvm-based programming environment, Application Reuters-21578 Corpus evaluation of the system.
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Webcam Face Tracking,real-time images from a webcam and converts them to grayscale images. Then, it extracts pre-defined feature vectors from the images and sends them to Support Vector Machine (SVM) to get the classification. Using the result, our p
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基于SVM，分本分类，，是关于两类分类的比较好的工具，国外网站提供，效果很好的-based SVM, the sub-classification is on the classification of the two types of relatively good tool, overseas sites provide good results, the
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基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of simila
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程序利用svm分类结合bp算法完成图像中的分类和预测问题，这是模式识别中的一个比较新颖的方法。-svm procedures for the use classification algorithm combining bp image classification and prediction, This is the pattern recognition of a relatively new method.
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此代码使用python中的sklearn实现了对uci中spambase垃圾邮件数据集的分类(This code uses sklearn in Python to realize the classification of spam dataset in UCI)
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利用GA遗传算法优化参数 并利用支持向量机分类或者回归计算(Use GA genetic algorithm to optimize parameters and use support vector machine for classification or regression calculation)
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根据标签，完成SVM下的多分类数据识别，数据可以是字符或者信号，可以达到较高的识别精度(The multi-classification data recognition under SVM was completed)
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模糊支持向量机例程，感觉还可以 有需要的 可以下载尝试(Fuzzy support vector machine routine)
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卷积神经网络（CNN）用来提取特征，采用SVM分类器进行训练和分类(Convolutional Neural Network (CNN) was used to extract features, and SVM classifier was used for training and classification)
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IRIS SVM分类 初尝试 自带数据集(IRIS SVM CLASSIFICATION)
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