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近三年来半监督学习的国外顶级期刊论文,办监督的最新研究成果,Over the past three years semi-supervised learning of foreign top-level journal articles, to do oversight of the latest research results
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文本相似度计算(tfidf),可用文本分类以及文本信息处理-Text Similarity Computing (tfidf), available for text classification and text information processing
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SVM文本分类MatLAB源代码 SVM文本分类MatLAB源代码-SVM text classification MatLAB source code. SVM text classification MatLAB source code. SVM text classification MatLAB source code. SVM text classification MatLAB source code.
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文档中包括两个文件:分别是pca人脸识别分析以及fisher人脸识别分析。文中代码包括详细的注释,读者一旦下载很快就可以上手!代码中的相关理论可以参考Dota的《模式分类》一书!- The archive consists of two documents: PCA face recognition and Fisher face recognition analysis. Text codes include detailed notes, readers will soon be abl
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使用变分EM方法实现的LDA文本模型
输入为文本即可
分解实现,含多个小函数可单独使用-LDA For Text Classification
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首先,对CATEGORY中的txt文件分类;
其次,对多个txt文件中的英文文本进行分词;
最后,通过贝叶斯公式进行分类;-First, in the txt file CATEGORY classification Secondly, multiple txt files in English text word Finally, by Bayes formula to be classified
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支撑状态向量机matlab代码,用于文本分类等-Support state vector machine matlab code for text classification, etc.
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libsvm工具箱,用于分类的绝佳工具,也可用于非线性回归及预测,或拟合,其中文本分类是其长项,回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a ve
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knn分类程序,基于matlab开发,能实现对文本的分类,达到很好的分类效果,经过运行成功验证-knn classification procedures, based on matlab development, to achieve the classification of the text to achieve a good classification results, after running successfully verified
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贝叶斯分类算法源代码,用于对文本文件进行分类-Bayesian classification algorithm source code, used to classify a text file
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用于文本分析和分类的pLSA(Probability Latent Semantic Analysis)的Matlab算法,含有测试数据及算法原理介绍。也可用于图像分析。相比原来的版本,增加了示例程序demo.m,以实现可视化效果,用户更容易使用和理解pLSA算法。-For text analysis and classification of pLSA (Probability Latent Semantic Analysis) of the Matlab algorithm with tes
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数字图像处理及实例应用,包括图像的边缘检测,阈值分割算法,文字与非文字区域的划分-And examples of digital image processing applications, including edge detection, threshold segmentation algorithm, text classification with non-text area
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本程序是用Matlab编写的用KNN算法解决文本分类问题的程序。-The program is written in Matlab using KNN algorithm to solve the text classification procedures.
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KNN分类方法,用于文本分类工作的研究。-KNN classification method, for text categorization of the research work
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文本挡的firsher线性判别器是最简单的模式识别分类,在这里用了matlab进行了编程-Text the gear firsher linear discriminant is the most simple pattern recognition classification, where the Matlab programming
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c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
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这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination, runKnn, runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。-This code implem
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matlab实现文本分类,内含两个分类器,主要采用线性回归和神经网络-Matlab achieve text classification, containing two classifiers, mainly using linear regression and neural network
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中文文本分词系统+基于贝叶斯算法的文本分类源码,用matlab实现。-Chinese word segmentation system+ based on Bayes text classification source code, using matlab implementation.
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The following is a matlab code using LIBSVM for loan classification, using german credit dataset and text classification using LIBSVM
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