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Libsvm is a simple, easy-to-use, and efficient software for SVM
classification 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 mo
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KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
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SVM 软件包，可以解决分类问题（包括C- SVC、n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）等问题-SVM software package can solve the classification problems (including the C-SVC, n- SVC), regression (including e- SVR, n- SVR) as well as the distribution of estim
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svm的分类和应用~~有详细的例子,非常实际和好用-svm classification and application ~ ~ There are detailed examples, very practical and easy to use ~ ~
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svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
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是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
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Matlab source for blind classification of EEG data (BCI competition II data set IV)
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大师编写的支持向量机程序,我用了觉得还可以,包括分类和回归.-the process of support vector machine for regression and classification
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数据挖掘中经典的支持向量机分类算法的源代码-Data Mining in the classical support vector machine classification algorithm source code
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SVM分析软件,实现基本的SVM分类功能。-SVM analysis software, to achieve the basic function of the SVM classification.
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Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
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matlab编写的svm实现多类分类的源代码，训练算法包括OAA算法、OAO 算法、BSVM2算法等。-matlab prepared svm multi-category classification of the source code, training algorithms, including OAA algorithm, OAO algorithm, BSVM2 algorithm.
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这是一个100 ％纯Java库，您可以使用适用于N元
分析技术的过程分为文本文件。
该计划包括几个不同的分类算法， namelly
支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
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VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。-VM classifier usually has a higher classification accuracy. I do not want too much here to say how the matter SVM, SVM is used to provide a method for identification. The combin
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最新的SVM源码，用于数据分类或回归，效果优于神经网络。C的源代码，请尽量在Linux或者Unix下编译。-Source code of SVM in C. SVMlight is an implementation of Support Vector Machines. It solves classification ,regression problems and ranking problems.Please compile it under Linux or Unix.
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用MATLAB编写的svm支持向量机的分类,回归工具箱- MATLAB codes of support vector machine svm classification, regression Toolbox
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svm（支持向量机）的演示程序，是可执行程序，非控制台程序，可实现分类并图形化显示。-svm (support vector machine) demonstration program, an executable program, non-console programs for classification and graphical display.
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
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This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
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支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification.
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