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基于weka的分类算法,用于weka拓展应用。朴素贝叶斯模型发源于古典数学理论,有着坚实的数学基础,以及稳定的分类效率。同时,该算法所需估计的参数很少,对缺失数据不太敏感,算法也比较简单。理论上,与其他分类方法相比具有最小的误差率。,Based on the classification algorithm weka, weka develop applications for. Naive Bayes model originated in the classical mathematical
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机器学习算法,朴素贝叶斯分类器,常用作文本分类,或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
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Bayes分类器——算法设计
1. 使用决策树(Decision tree)分类算法、朴素贝叶斯(Naï ve Bayes)算法或者K-近邻(kNN)算法(三者任选其一)对给定的训练数据集构造分类器,并在测试数据集上进行分类预测。
2. 数据集描述:
Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
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朴素贝叶斯分类算法开发的文本文件过滤器 ,使用之前需要设置训练集.-Naive Bayes classification algorithm developed by a text file filters, need to set up the training set prior to use.
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图像分类算法,2012年CVPR中的文章,效果还可以,采用“Local Naive Bayes Nearest Neighbor”方法-Image classification algorithm, CVPR 2012 article, the effect can also " Local Naive Bayes Nearest Neighbor method
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介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料,以找出不同的客户或市场划分,分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006:
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基于朴素贝叶斯算法的分类器,代码清晰易懂-Naive Bayes classifier algorithm, code lucid
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分类算法是统计学分类方法,它是一类利用概率统计知识进行分类的算法。在许多场合,朴素贝叶斯(Naï ve Bayes,NB)分类算法可以与决策树和神经网络分类算法相媲美,该算法能运用到大型数据库中,且方法简单、分类准确率高、速度快。-The classification algorithm is the statistical classification, it is a knowledge of probability and statistics classification alg
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Naive bayes classifer的具体实现,使用多模态事件模型表示,提供EM算法用于半监督和无监督学习,最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
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这个程序的主要功能是 文本分类,分类算法是朴素贝叶斯分类-The main function of this program is a text classification algorithm Naive Bayes classifier
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数据挖掘经典分类算法朴素贝叶斯的C++实现,界面采用qt-The data mining classic classification algorithm the Naive Bayes C++ achieve interface using qt
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朴素贝叶斯分类器程序代码
采用朴素贝叶斯分类器算法,使用C++语言对英文文本进行分类,实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function
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朴素贝叶斯文本分类的算法实现,将文本转化为矩阵结构然后对矩阵做运算-Naive Bayes text classification algorithm, the text is converted to a matrix structure and then do the calculation matrix
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迁移朴素贝叶斯分类器算法实现,可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
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采用有监督的朴素贝叶斯、SVM和KNN算法对进行训练,实现对邮件的分类-Using supervised naive bayes, SVM and KNN algorithm for training, implementation of the classification of the mail
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朴素贝叶斯分类算法是机器学习中十分经典而且应用十分广泛的算法,下面将逐步学习和说明。-Naive Bayes classifier machine learning algorithm is very classic and very broad application of the algorithm, the following will gradually learn and descr iption.
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机器学习算法,包括主成分分析方法,奇异值分解,逻辑回归,最小二乘法线性回归,朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
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Opninion mining project for Movie Review and Performance ANalysis Between Tow Algorithm Naive bayes and SVM
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MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux
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用matlab编写的朴素贝叶斯分类器程序,以文件中的训练数据对分类器进行训练,并用测试数据进行测试,以验证分类器的性能。-The algorithm for naive bayes classifier.
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