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模式识别中朴素贝叶斯分类器,实习数据的良好分类技术-naive bayesian classification
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贝叶斯分类器源代码．能很好的实现分类．是很好的学习资料．期望与大家一起分享．-Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share
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利用matlab软件对模式识别进行了很好的仿真，利用贝叶斯分类器对男女生进行了很好的分类。-Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
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贝叶斯分类算法源代码，用于对文本文件进行分类-Bayesian classification algorithm source code, used to classify a text file
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基于朴素贝叶斯的分类练习，在UCI数据库中的breast数据集上进行的测试-Bayesian classification based on practice, in the UCI database data set on breast test
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bayesian pattern classification method,may be useful for you!
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Bayesian classification algorithm based on image threshold segmentation iterative threshold segmentation algorithm for the best environment to run correctly matlab7.0
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Employing Maximum Mutual Information for Bayesian Classification (Decision Theory)
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naive bayesian classification
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使用MATLAB编程，采用贝叶斯分类方法实现的一个具体程序实例，已调试成功-Using the MATLAB programming, the use of Bayesian classification to achieve a specific application instance, has been successful commissioning
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用matlab实现的贝叶斯分类，对x进行了分类，其中可以自行的输入x看分类是否正确-with the matlab implemented Bayesian classification, a classification of x, which can see their own classification of the input x is correct or not
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高斯过程在分类中的应用。本程序采用拉普拉斯逼近基于高斯过程的贝叶斯分类。-Gaussian process in the Classification. This procedure uses the Laplace approximation of Gaussian processes based on Bayesian classification.
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matlab语言编写的实现iris数据的最小错误贝叶斯分类-Iris data to achieve the minimum error Bayesian classification
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基于贝叶斯分类算法的图像阈值分割，实现视频图像的分割 -Bayesian classification algorithm based on image segmentation, image segmentation of video
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iris数据集的贝叶斯分类实验，外带实验报告一分-Bayesian classification of iris data set experiment, experimental report of a sub-outer
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基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
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贝叶斯分类亲，功能强大，适合于人工智能研究与应用-Bayesian classification pro, powerful, welcome to download the Blessings
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贝叶斯分类器，首先生成3000个高斯分布的点，1000个点做训练集，2000个点做测试集。先运行data_generator.m自动生成两个集盒，再运行bayes_classifier.m进行分类-Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Aut
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这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误
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贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法(Bayes classification algorithm is a classification method of statistics, which is a classification algorithm using probability statistics)
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