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NB_for_text_classification
- 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
NaiveBayes
- Naive Bayes algorithm for data mining
java
- Java的代码很好用啊啊多发阿德-This procedure implements the text-based Naive Bayes classification method, with source code, test reports, executables and corpus (including the training set and test set)
bayes
- 基于朴素贝叶斯预测的一个小例子（根据ppt里的例子），将就着看，内有bayes的讲解ppt -开发环境vs2012，c-Based on a small example of Naive Bayesian prediction (based on ppt in the example), will the see, there are explanations bayes ppt - development environment vs2012
byes
- 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
JAVAbayes
- 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
NBC
- 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
texClassification.pdf
- Text Classification based on Naive Bayes
Naive-Bayes
- 如何运用朴素贝叶斯的公式对两类特征进行分类-How to use simple bayesian formula characteristics of two kinds of classification
eMailSystem
- 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
naive_bayes
- 用naive bayes算法对文本邮件进行分类。原文本共20类，几万词条，采用标准的数据库文本作为数据源。-naive bayes alogrithm to classify email text.
bayes_examp
- 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.
NaiveBayes
- Naive Bayes 朴素贝叶斯的Java代码实现
NaiveBayes
- 贝叶斯分类器，机器学习十大经典算法之一，基本的实现-Naive Bayes
libORF-master
- 针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes: - Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
bayes
- 利用贝叶斯朴素算法对文本的内容的褒贬属性进行分类-Naive Bayesian algorithm to appraise the contents of the text property classification
textClassifier
- 新闻文本分类器，采用naive Bayes算法。先对训练集处理得到词库，再通过测试集检验，核算分类器的正确率。-News texts classification, the use of naive Bayes algorithm. First treatment of the training set to get the thesaurus, then tested by the test set and accounting the correct rate of classificati
pythonsrc
- 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
NaiveBayesClassifier
- Naive bayes classifier
bayesclass
- 贝叶斯分类器的一个函数，可以选择是full还是naive贝叶斯-A function Bayesian classifier, you can choose full or naive Bayes