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ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes,
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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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用朴素贝叶斯算法来进行文件分类,未包含训练数据.-Naive Bayes algorithm is used to carry out classification of documents, not included in training data.
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java代码的朴素贝叶斯分类器
java代码的朴素贝叶斯分类器
调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
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JAVA写的垃圾邮件过滤器,基于朴素贝叶斯算法,用NetBean生成的界面(须JDK1.6),适用于对手机短信,邮箱邮件,日记等一些txt文件进行分类,测试率达90 以上。-JAVA to write spam filters, based on the Naive Bayes algorithm, using NetBean generated interface (to be JDK1.6), applies to SMS, E-mail e-mail, diary and some oth
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朴素贝叶斯模型的源代码,可以用于文本分类-Naive Bayes model source code, can be used for text classification
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朴素贝叶斯分类是一种简单而高效的分类模型,然而条件独立性假设在现实中很少出,致使其性能有所下降。通过引入关联规则,从两方面来改善朴素贝叶斯分类的性能。一方面,通过对关联规则的挖掘,发现条件属性之间的关联关系,并且利用这种关联关系弱化朴素贝叶斯的独立性假设;另一方面,通过关联规则的置信度,给朴素贝叶斯加权。 -Naive Bayesian classifier is a simple and efficient classification model, the conditional indep
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Boosting中的AdaBoost.M1算法在文本分类中的应用实现。使用ICTCLAS用于中文分词,弱分类器使用Naive Bayes。程序参数使用配置文件的格式。-Application of text classification using AdaBoost.M1. Use ICTCLAS tool in Chinese segment, and use Naive Bayes as the weak classifier. use the config file as the para
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用Python写的,基于概率论的分类方法,朴素贝叶斯分类器-Written in Python, based on probability theory classification, naive Bayes classifier
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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
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贝叶斯分类算法是统计学的一种分类方法,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,而且方法简单、分类准确率高、速度快。-Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use
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贝叶斯分类器matlab代码,主要利用naive bayes分类器的思想利用后验概率进行分类。-Bayesian classifier matlab code, after the main use of naive bayes classifier utilizing the posterior probability ideological classification.
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java实现朴素贝叶斯中文文本分类器。自带分类语料和实验报告。功能完整。-java implement Naive Bayes Chinese text categorization. Own classification corpus and test reports. Full-featured.
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多文本分类,KNN和朴素贝叶斯算法,英文文本,-Text categorization, KNN and naive bayes algorithm, the English text,
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朴素贝叶斯文本分类的简单案例,了解朴素贝叶斯的算法实现过程(Naive Bayes text classification of simple cases, to understand the naive Bayes algorithm implementation process)
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朴素贝叶斯算法的程序,不知有用否,不记得是从哪里下载到的了(naive bayes algorithm is a machine learning technique, which is used for classification.)
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基于概率论的分类方法 :朴素贝叶斯
学习朴素贝叶斯算法进行简单的二值分类(Classification method based on probability theory: Naive Bayes
Learning naive Bayes algorithm for simple two valued classification)
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朴素贝叶斯分类分为两步:
① 计算特征项和所属类别之间的概率;
② 判断文本dj是否属于类别ci的概率
本代码为训练阶段(Naive Bayes classification is divided into two steps:
1 Calculate the probability between the feature item and its own category;
2 The probability of judging whether the text dj belong
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