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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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酒数据挖掘，朴素贝叶斯分类器，把酒分成3类-Wine data mining, naive Bayes classifier, the wine is divided into three categories
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贝叶斯分类器Matlab实现
机器学习算法，用于分类的朴素贝叶斯分类器，Navie Bayesian Classifier 。-Bayesian classifier Matlab achieve machine learning algorithms for classification Naive Bayes classifier, Navie Bayesian Classifier.
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朴素贝叶斯分类器，Data为总数据矩阵,Train_Dat为训练样本,Test_Dat为测试样本，用来实现对测试样本进行分类~可以从UCI下载数据调用使用~-Naive Bayes classifier, Data for the total data matrix, Train_Dat of training samples, Test_Dat test sample, the test samples were used to achieve the classification of ~
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J fisher discriminant for high/low classes.
Naive Bayes classifier for EEG feature selection.
- Both for evaluating high/low levels of Valence or Arousal.
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Naive Bayes Classifier to analyse the sentiment of English text in term of Positive and NEgative
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文本分类：朴素贝叶斯分类器例子，采用Multi-Variate Bernoulli Event Model。一个文件为训练，一个文件为测试，采用20newsgroups数据集。-Text classification: Naive Bayes classifier example, the use of Multi-Variate Bernoulli Event Model. A file for training, a file for testing, using 20newsgroups
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文本分类,朴素贝叶斯分类器,将文本分类为体育、教育等类别-Text classification, naive Bayes classifier, the text is classified as sports, education and other categories
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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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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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Naive bayes classifier
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python实现的朴素贝叶斯分类器，以及垃圾邮件分类的一个应用，包括处理的数据-
python implement Naive Bayes classifier, and an application spam classifications, including data processing
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This program gives a program which follows the naive bayes classifier to classify the processed reviews.This used in sentiment classification.n document classification, a bag of words is a sparse vector of occurrence counts of words that is, a sparse
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naive bayes classifier
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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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用大数据来训练一个朴素贝叶斯分类器，并且在分类器中加入α=1的拉普拉斯平滑。-Use the data given in table to train a naive Bayes classifier and test it.Add Laplace smoothing into the classifier with α=1,and test angin.
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java source code for naive bayes classifier
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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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I use Matlab 2008a which does not support Naive Bayes Classifier. scr ipt supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the scr ipt. Also includes function for confusionmat
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The code above does a couple things. First it takes in two lists of strings (SetA being Spam and SetB being Ham). These lists would be individual words from the messages (although you can do phrases, word pairs, etc.).
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