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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。
NaiveBayesPresentation
- it s explain about Naive Bayes simplicity
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
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.
mani
- MMSE Generation of a naive training sequence.. Assuming BPSK modulation
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
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
Documents
- This code provides two simple examples of naive Bayes classifier. In the first example the input are a bunch of positive and negative numbers and their corresponding classes i.e. posi or negi and is tested with random numbers.-This code provides t
McCannLowe_CVPR2012_1925
- 图像分类算法，2012年CVPR中的文章，效果还可以，采用“Local Naive Bayes Nearest Neighbor”方法-Image classification algorithm, CVPR 2012 article, the effect can also " Local Naive Bayes Nearest Neighbor method
10-da--suanfa
- 讲述了最著名的十大数据挖掘算法，经典资料，国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法：C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.-About the top ten most famous data mining algorithms, the
Text-Classification-Using-Naive-Bayes
- This file details bayesian classification theorem in artificial intelligence
NaiveBayesClassifier(1)
- naive bayes classifier
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.
NBC_Jenis_Jeruk
- Naive Bayes Algorithm
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
baysian_2
- In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.-In machine learning, naive Bayes classifiers are a family
texClassification.pdf
- Text Classification based on Naive Bayes
eliminationgauss
- Systems of linear equations Our Matlab function for naive Gaussian elimination looks like this: function x = naiv_gauss(A,b) n = length(b) x = zeros(n,1) for k=1:n-1 forward elimination for i=k+1:n xmult = A(i,k)/A(k,k) for j=k+1:n
NaiveBayesClassifier
- Naive bayes classifier
lecture-05-naive-bayes-done1
- How naive bayes method solve our daily problem in data mining