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朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J
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一个用来做模式识别的贝叶斯分类器-used as a pattern recognition Bayesian classifier
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dbacl是一个通用目的的digramic贝叶斯文本分类器。它可以学习你提供的文本，接着用学到的类别来比较新的输入。-dbacl is a general-purpose text digramic Bayesian classifier. It can learn to provide you with the text, then uses learned relatively new type of input.
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《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
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机遇PCA的人脸识别，包括图像读取，PCA降维以及机遇简单贝叶斯分类,PCA Face Recognition opportunities, including the image read, PCA dimensionality reduction as well as the opportunity for easy Bayesian Classifier
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实现0-9个手写数字的识别 使用了多种方法：最近邻、势函数、神经网络、贝叶斯分类器-To achieve recognition handwritten digits 0-9 using a variety of methods: the nearest neighbor, potential function, neural networks, Bayesian classifier
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贝叶斯分类器的设计实验，内有解释利于入门学习-Bayesian classifier design experiments, which help to explain the study entry
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用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
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使用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序，分为协方差相等和不相等两种情况，最后画出了三类的分界线-Using matlab to the smallest error rate based on the Bayes classifier to carry out simulation, the preparation of the corresponding procedures, divided into equal covariance and unequ
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利用Java实现的贝叶斯分类器，目的是进行文本分类-Bayesian to web classify
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最小错误概率贝叶斯分类器的matlab程序，可用于二维数据的分类以及分类效果的图像显示，可帮助初学者加深对贝叶斯分类算法的理解。-This is a matlab program of the minimum probability of error of Bayesian classifier.Which can display the image of two-dimensional data classification and the classification results . I
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matlab贝叶斯分类器，基于matlab的仿真-Bayesian classifier matlab, matlab-based simulation
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java代码的朴素贝叶斯分类器
java代码的朴素贝叶斯分类器
调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
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Java写的NaiveBayes分类器，Weka平台下的贝叶斯分类器。-Java written NaiveBayes classifier, Weka platform under the Bayesian classifier.
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贝叶斯分类器，模式识别，贝叶斯规则用于C个类，高斯函数建模-Bayesian classifier, pattern recognition, Bayesian rules for C-class, the Gaussian function modeling
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为一个贝叶斯分类的学习算法实现,是基于linux系统下的c++实现-As a Bayesian classifier learning algorithm is based on linux systems c++ Achieve
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实现三类协方差不等的贝叶斯分类，输入样本即可得出此样本属于哪一类。-The realization of three categories ranging from Covariance Bayesian classifier, the importation of samples can be drawn to this type of samples.
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模式识别--VISUAL C++环境下编写的贝叶斯分类器（bayes）,值得收藏-Pattern Recognition- VISUAL C++ Environment prepared by Bayesian Classifier (bayes), worthy of collection
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朴素贝叶斯分类器，对于连续变量情形，此算法将连续变量进行离散，分类效果较好-Naive Bayesian classifier, the continuous variable case, this algorithm for discrete variables, the classification results better
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一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法,
决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Baye
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