Description: 一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms. -by Mike Gashler a complete machine learning includes the neur al net, naive bayesian classifier. decision tree, KNN, a genetic algorithm, manifold and some learning algorithms. Platform: |
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Author:lyb |
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Description: naive bayes方法是用于分类的一个传统方法，它是产生的比较早的一个方法，分类的准确度比较高。-naive bayes method is used for the classification of a traditional method, which is generated as early as one way of comparison, classification accuracy is relatively high. Platform: |
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Author:李萍 |
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Description: 这是一个matlab 开发的naive Bayes 分类器算法。可以供大家共享，修改和批评指正。这个是修改的别人的。如果有务，联系：
l_y_f_2005@163.com-This is a matlab developed algorithm naive Bayes classifier. Be available for everyone to share, modify, and criticism. This is a modification of someone else Platform: |
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Author:122456 |
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Description: 贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training Platform: |
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Author:guifeng2002 |
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Description: 贝叶斯分类算法，构造朴素贝叶斯分类器，对给定的中文文本进行分类-Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification Platform: |
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Author:娜娜 |
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Description: ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K—
me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记
录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据
集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will be introduced to the Naive Bayesian Classifier study, a K-means based on the Naive Bayesian classification algorithm. First of all, with K-me. arks algorithm focus on the raw data of the complete data subset of the cluster, the calculation of missing data for each subset of records and the similarity between the cluster center of gravity to the nearest record assigned to a cluster, and the corresponding attributes of the cluster means to fill the missing value record, and then use Naive Bayes classification algorithm to deal with the data set after classification. The experimental results show that compared with the Naive Bayes, K-means based on the thinking of Naive Bayes algorithm has higher classification accuracy. Platform: |
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Author:李浩 |
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Description: 基于信息几何构建朴素贝叶斯分类器，一篇论文，写的挺好的。请改名为doc
简单的实现了遗传算法的功能。-Geometry-based Naive Bayes classifier to build, a paper written in very good shape. Simple implementation of genetic algorithm. Platform: |
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Author:大懒 |
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Description: 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) classification algorithm, Naive Bayes (Naï ve Bayes) algorithm or K-nearest neighbor (kNN) algorithm (choose any one of three) on a given set of training data classification structure, and the test data Classification and Prediction on the set. 2. Data set description: Tic-tac-toe game binary classification. Tic-tac-toe game example is as follows Platform: |
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Author:vera |
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Description: 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 Platform: |
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Author:兰明明 |
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Description: 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 Platform: |
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Author:宋清华 |
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Description: 对朴素贝叶斯算法的进一步改进。朴素贝叶斯分类器是一种简单而高效的分类器，但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关系，以及它的被动学习策略，影响了它的分类性能。本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类性能的方法。为进一步的研究打下坚实的基础-Naive Bayes algorithm further improved. Naive Bayes classifier is a simple and efficient classifier, but its attribute independence assumption it can not be said that the dependencies between the properties of the real world, as well as the passive learning strategies, affect its classification performance. Starting from different points of view to discuss and analyze the three improved the performance of the naive Bayesian classifier. To lay a solid foundation for further study Platform: |
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Author:xujingxue |
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Description: 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 Platform: |
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Author:李宁 |
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Description: 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation Platform: |
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Author:刘韵 |
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Description: 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传算法、模糊逻辑、人工神经网络算法）。-Classical machine learning classification algorithms overview。 Including Decision Tree (ID3, C4.5 (C5.0), CART, PUBLIC, SLIQ and SPRINT algorithm), three typical Bayesian classifier (Naive Bayes algorithm, TAN algorithm Bayesian network classifiers), k-nearest neighbor based classification algorithm (MIND algorithm, GAC-RDB algorithms) database technology, based on association rules (CBA: classification (Apriori algorithm) Classification Based on Association Rule), and support vector machine classification, classification method based on soft computing (rough sets (rough set), genetic algorithms, fuzzy logic, artificial neural network algorithm).... Platform: |
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Author:MM |
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Description: 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 description. Platform: |
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Author:lijia |
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