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knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法,非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法,其基本思想相当直观:Rocchio法来源于信息检索系统,后来最早由Hull在1994年应用于分类[74],从那以后,Rocchio方法就在文本分类中广泛应用起来。
贝叶斯分类器 java
- 可以通过训练 对单个文件进行贝叶斯文本分类
classification
- 在具有模式的完整统计知识条件下,按照贝叶斯决策理论进行设计的一种最优分类器。分类器是对每一个输入模式赋予一个类别名称的软件或硬件装置,而贝叶斯分类器是各种分类器中分类错误概率最小或者在预先给定代价的情况下平均风险最小的分类器。-In a model under the condition of complete statistical knowledge, in accordance with the Bayesian decision theory to design an optimal c
bayesian
- 用于分类规则挖掘的贝叶斯信念构造算法,用于分类规则挖掘的贝叶斯信念构造算法-For Classification Rule Mining Algorithm for Constructing Bayesian Belief for Classification Rule Mining Algorithm for Constructing Bayesian Belief
Bayes
- 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.
bayes
- 贝叶斯决策理论:根据先验概率、类分布密度函数以及后验概率这些量来实现分类决策的方法.最小错误率的贝叶斯决策:根据一个事物后验概率最大作为分类依据的决策 -Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to a
Matlab2
- 朴素贝叶斯分类器,使用MATLAB语言编写,对文档进行自动分类-Naive Bayes classifier
Bayesian
- 贝叶斯分类器的算法解析,以及用c#写的关于文本文档的贝叶斯算法设计-Bayesian classifier algorithm analysis, and use c# to write the text of the document on Bayesian Algorithm
Chinese-text-based-on-Naive-Bayes-
- 一种基于情感词典和朴素贝叶斯的中文文本情感分类方法-Feelings of the Chinese text based on emotional dictionaries and Naive Bayes classification
DataMining3rd
- 评测数据在去掉停用词的 分类过程开放测试中,引入Good-Turing算法的分类性能比Laplace原则提高了3·05 ,比Lidstone方法提高 1·00 .而在交叉熵选择特征词的算法中,增加Good-Turing的贝叶斯分类方法可比最大熵分类性能高95 .通过这种数据平滑的算法,有助于克服因数据稀疏而引发的特征词缺失问题 -Evaluation data in the open test of the classification process to remove stop
moshishibie
- 对X应用贝叶斯分类,对X的前两类训练单层感知器-The classification of X application of Bias,on the X of two kinds of training single-layer perceptron
Naive-Bayes
- 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。-In this paper, starting from a different perspective, to discuss and analyze the three improved Naive Bayesian classifier performance. Lay a solid foundation for further research.
1
- 实现贝叶斯分类器,在matlab上的源代码-Bayesian classifier in matlab source code
1
- 在matlab上实现的贝叶斯分类器,有缘吗-To achieve the matlab Bayesian classifier
moshishibie
- 贝叶斯分类估计和最大似然估计的matlab编程-it is used to make the bayesis guji and the mle.it is very convenient for homework
afnichidnfs-
- 对五种典型的贝叶斯网分类器进行了分析与比较。在总结各种分类器的基础上,对它们进行了实验比较,讨论了各自的特点,提出了一种针对不同应用对象挑选贝叶斯网分类器的方法。 -Of five kinds of typical bayesian network classifiers are analyzed and compared. On the basis of summarizing the various classifiers, experiments have been carried out
classificiation-algorithm-overview
- 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
Bayesian-classifier
- 本实验基于贝叶斯分类器对采集的微博数据进行情感分析,从中提取出不同的情感类别。-In this study, Bayesian classifier based on the micro-blog sentiment analysis data were collected, extracted from different emotional categories.
Modelling-Functional
- 相关向量机用于分类,可用于稀疏贝叶斯学习的研究,文章内含有RVM代码-Relevance vector machine for classification, can be used to study the sparse Bayesian learning, the article contains RVM code
基于贝叶斯最小错误率手写数字识别
- 基于贝叶斯手写数字识别,基于MATLAB+GUB平台,手写0-9数字进行识别分类(Handwritten Number Recognition Based on Bayesian)