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1下载:
捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09,在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法,比如SVM,PCA,LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类,效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
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基于svm的图像识别技术,效果不错。可用于图像的分类-Svm-based image recognition technology, good results. Can be used for image classification
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可用于支持向量机(svm)的分类,具体用法也在其中给出,可供初学者学习使用-This can be used for the classification of support vector machine ( svm ) , the specific usage , including shows for beginners learning to use
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本代码是实现支持向量机的源码,用VC++实现,如果不懂请读里面的文件说明-This code is to achieve source Support Vector Machine with VC++ Achieve, if not understand, please read the documentation inside
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一款基于svm的程序,在windows下运行,主要用于svm分类。
-A SVM-based procedure, in the run under windows, mainly used for SVM classification.
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使用svm实现了分类和拟合功能
带有源文件,包括了java版本和c++版本
-Achieved using the SVM classification and fitting function with the source documents, including a java version and c++ Version
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svm 支持向量机分类器-SVM classification
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关于svm的分类问题,比如:给一组数据,把这些数据分成两类,我的做法不算很好,成功率才是87%-On the SVM classification problems, such as: a set of data to these data into two categories, my approach is not very good, and the success rate is 87
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这是Libsvm2.6工具的源码,用于SVM分类和回归计算。-This is the source Libsvm2.6 tool for SVM classification and regression.
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采用经典的机器学习分类算法SVM,对训练样本进行训练和学习,来实现对预定目标的分类。-Using the classic machine learning classification algorithm SVM, the training samples for training and study to achieve the intended target of the classification.
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纠错输出编码SVM算法,解决多类分类问题-Error-correcting output coding SVM algorithm, to solve multiclass classification problem
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现在比较流行的SVM算法的一个DEMO,用于处理分类问题,欢迎大家试用。-Now popular SVM algorithm is a DEMO, used to deal with classification problems, welcomed the U.S. trial.
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跟類神經網路有點像的東西, 不過現今最常拿來就是做分類也就是說,如果我有一堆已經分好類的東西 (可是分類的依據是未知的!) ,那當收到新的東西時, SVM 可以預測 (predict) 新的資料要分到哪一堆去。-is something that has similar roots with neural networks. But recently it has been widely used in Classification. That means, if I have some set
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svm_c 分类源码 用于svm的分类编程同svm_nu 相近-svm classification svm_c source for the classification of programming with similar svm_nu
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svm_nu 分类源码 用于svm的分类编程同svm_c 相近-svm classification svm_nu source for the classification of programming with similar svm_c
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library for SVMclassification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification.
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SVM, Support Vector Machine , 簡而言之它是個起源跟類神經網路有點像的東西, 不過現今最常拿來就是做分類 (classification)。 也就是說,如果我有一堆已經分好類的東西 (可是分類的依據是未知的!) ,那當收到新的東西時, SVM 可以預測 (predict) 新的資料要分到哪一堆去。 -SVM, Support Vector Machine , is something that has similar roots with neural network
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Shell scr ipt for classification using SVM, including the indexing and scaling.
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支持向量机工具箱,包括了二种分类,二种回归,以及一种一类支持向量机算法。
-Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
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Data set for classification using SVM-Data set for classification using SVM..............
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