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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。
Date : 2008-10-13 Size : 94.35kb User : 许梁

值得学习,要想制作大型软件,而且采用面向对象的编程,设计模式不能不学。-worth learning, in order to produce large software and object-oriented programming, design patterns can not learn.
Date : 2025-12-30 Size : 204kb User : 杨立

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。-Naive Bayes (Naive Bayes, NB) algorithm is commonly used in the field of machine learning a classification algorithm based on probability is very simple and effective. k neighbor method (k-Nearest Neighbor, kNN) [30,31], also known as case-based (Example-based, Instance-bases) of the algorithm, the basic idea quite intuitive: Rocchio law from the Information Retrieval System, and later was first proposed by the Hull in 1994, applies to classification [74], since then, Rocchio method of classification in the text with extensive application.
Date : 2025-12-30 Size : 94kb User : 许梁

描述了使用ArcGIS 控件建立和部署应用的方法和步骤。演示并使你熟悉在.NET中使用标准ArcGIS控件开发和部署GIS应用所需的步聚.-Describes the use of ArcGIS control applications to build and deploy the methods and steps. Presentation and you are familiar with. NET controls the use of standard ArcGIS application development and deployment of GIS required步聚.
Date : 2025-12-30 Size : 653kb User : fantaseazm

it s explain about Naive Bayes simplicity
Date : 2025-12-30 Size : 200kb User : alay

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.
Date : 2025-12-30 Size : 162kb User : 大懒

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
Date : 2025-12-30 Size : 93kb User : weiyc

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 classical information, the international authority of the academic organization of the IEEE International Conference on Data Mining (ICDM) 2006, selected the top ten of the field of data mining algorithms: the C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
Date : 2025-12-30 Size : 56kb User : 吴贵锋

This file details bayesian classification theorem in artificial intelligence
Date : 2025-12-30 Size : 864kb User : bala

naive bayes classifier
Date : 2025-12-30 Size : 19kb User : hadeel

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.
Date : 2025-12-30 Size : 732kb User : houying

Naive Bayes Algorithm
Date : 2025-12-30 Size : 6.89mb User : korsan

Text Classification based on Naive Bayes
Date : 2025-12-30 Size : 99kb User : kasmi

java source code for naive bayes classifier
Date : 2025-12-30 Size : 6kb User : audio
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