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应用java实现的svm支持向量机的分类算法！相信对svm感兴趣的朋友有很大帮助！-java application realized svm SVM classification algorithm! Believe that the right svm interested friends will be of great help!
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中文文本分类，应用SVM对中文文本进行分类，具有高性能,Chinese text classification, applications to the Chinese version of SVM for classification, with high-performance
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文本分类语料库，经过编辑手工整理与分类的新闻语料与对应的分类信息。其分类体系包括几十个分类节点，网页规模约为十万篇文档-Text classification corpus, edited manually compiled and classification of news corpus and the corresponding classification information. Their classification system includes dozens of classi
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基于Matlab的SVM模式分类方法的实验系统,有仿真实验，有举例说明，可用于参考-Matlab-based classification method of SVM model experimental systems, there are simulation results, there are examples, can be used for reference
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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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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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支持向量机实现的文本分类程序，过程如下，首先使用分词工具分词，这里使用的是计算所的分词工具，从而保证分词是最优秀的，接下来使用国际效率最高的文本IFIDF向量生成工具生成文本相量，最后使用台湾林智恒的效率最高的SVM实现软件包libsvm实现训练和分类，可以这么说，该文本分类是同类中效率最高最准确的-text classfication source code use 3 technology.words sementation,vector gerneration,and libsvm too
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SVM classifier: SVM is a traditional discriminative classification method.
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svm demo for classification
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svm demo source for classification
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SVM分类，算法，代码
-SVM classification algorithm, the code
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SVM分类程序，可进行多分类，可直接在MATLAB平台上运行，已试过-SVM classification procedure, the multi-classification
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Feature Extraction for Speech Processing and SVM Classification of Voice Samples. This package contains Feature Extraction and Classification Matlab codes and some turkish voice records.
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能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
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非常好的5倍交叉验证的程序，可以进行svm分类，推荐大家使用，非常好的-Very good 5-fold cross-validation procedure, svm classification, we recommend using the very good
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利用支持向量机实现非线性分类，通过调节参数改变分类个数-Nonlinear SVM classification, change classification number by adjusting the parameters
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The sign language recognition to create a to store the training image, the video capture infront the user image
and each sign language assign the letter the preprocessing the image then image is convert into rgg to cbcr. The image is segmented
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使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.
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这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
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code for simple SVM classification in matlab.
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