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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。
matlabbayes
- 关于如何用matlab构建bayes分类器的简介，适合于初学者。-On how to build a Bayes classifier matlab profile, suitable for beginners.
NaiveBayesPresentation
- it s explain about Naive Bayes simplicity
DS
- 证据理论的基本原理的论文资料 证据理论采用信度的“半可加性”原则，较好地对不确定性推理问题中主、客观性之间的矛盾进行了折衷处理。而且，证据理论下先验概率的获得比主观Bayes方法要容易得多，已经成为构造具有更强的不确定性处理能力专家系统的一种有效手段。 -he basic principles of evidence theory papers information
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.
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
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
Bayes
- 本程序是学习模式识别课程的一个指引程序，对理解基本概念非常重要。希望对刚开始学习模式识别的伙伴有所帮助-this programme is important to someone who learn pattern recognition
m14-bayesianI
- 此文档研究人工智能中的不确定性问题，以及概率问题，并且提到Bayes法则。-This document research of uncertainty in artificial intelligence, and the problem of probability, and mentioned that Bayes rule.
Navie-Bayes
- matlab code for Navie Bayes
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
bayes
- Introduccion a Las Redes Bayesianas
texClassification.pdf
- Text Classification based on Naive Bayes
Bayes-pso-Classier
- 模式识别的贝叶斯公式进行设计分类器A Bayesian formulation for large data pattern recognition is designed for classifier-A Bayesian formulation for large data pattern recognition is designed for classifier
AlgoritmaBayes
- java source code for naive bayes classifier
A-Robust-Algorithm-for-Joint-Sparse
- 脉冲噪声背景下的联合稀疏恢复方法， 在不同背景下给出了测试结果-presents a robust solution for joint sparse recovery (JSR) under impulsive noise. The unknown measurement noise is endowed with the Student-t distribution, then a novel Bayesian probabilistic model is proposed to
bayes_on_pima
- bayes classifier on pima dataset