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[AI-NN-PRmimr_s200502106

Description: 模式识别-贝叶斯最小错误率判别一幅图像是属于人,还是属于背景。图像经过预处理。-pattern recognition- Bayesian smallest error rate discriminant image is a person, or belong to the background. After pretreatment images.
Platform: | Size: 1024 | Author: 郑军 | Hits:

[AlgorithmBayesianClassifier1

Description: 一个基于正态分布 的贝叶斯最小错误率的分类器-A normal distribution based on Bayesian minimum error rate of classifier
Platform: | Size: 1024 | Author: wangxiangyu | Hits:

[matlabBayes

Description: 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 unequal both cases, the final draw of the three types of line
Platform: | Size: 1024 | Author: liz | Hits:

[Special EffectsBayesLeastError

Description: Matlab程序,对图像进行分割,运用贝叶斯最小错误率的方法-Matlab program, image segmentation, the minimum error rate using Bayesian methods
Platform: | Size: 4096 | Author: terry | Hits:

[Special EffectsBayes_Classify

Description: 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
Platform: | Size: 1425408 | Author: 李琛 | Hits:

[matlabclassifier

Description: 两类二维相关正态分布条件下的最小错误率贝叶斯分类器,基于最小风险的贝叶斯分类器,Parzen窗法非参数估计分类器程序,Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window method estimates non-parametric classification procedures, Fisher Linear Discriminant classifier program.
Platform: | Size: 39936 | Author: wanwei | Hits:

[Graph RecognizeBayes

Description: 传统贝叶斯分类器,最小错误率贝叶斯分类器、最小风险贝叶斯分类器-Traditional Bayesian classifier, the minimum error rate classifier, minimum risk Bayes classifier
Platform: | Size: 2048 | Author: shijun | Hits:

[matlabbayes

Description: 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
Platform: | Size: 2048 | Author: leo | Hits:

[Otherbayes

Description: matlab基于最小错误率的贝叶斯分类器设计-Bayesian classifier design matlab minimum error rate
Platform: | Size: 1024 | Author: 么西1983 | Hits:

[OtherBeyes

Description: 实验要求: 1. 以身高为例,画出男女生身高的直方图并做对比; 2. 采用最大似然估计方法,求男女生身高以及体重分布的参数; 3. 采用贝叶斯估计方法,求男女生身高以及体重分布的参数(假定方差已知,作业请注明自己选定的一些参数情况); 4. 采用最小错误率贝叶斯决策,画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生?为(178,70)时呢?(Experimental requirements: 1. take height as an example, draw the height histogram of male and female students, and make a comparison; 2. the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students; 3. Bayesian estimation method is used to find the parameters of height and weight distribution of male and female students (assuming variance is known, please indicate some parameters selected by homework); 4., the Bayes decision with minimum error rate is used to draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?)
Platform: | Size: 237568 | Author: PPLL | Hits:

[matlab实验1

Description: 最小错误率贝叶斯决策方法的MATLAB程序(Bayesian decision making method with minimum error rate)
Platform: | Size: 1024 | Author: sly8570 | Hits:

[Internet-Network贝叶斯判决

Description: 假定某个局部区域细胞识别中正常w1和非正常w2 两类先验概率分别为: 正常状态:P(w1)=0.9 ; 异常状态:P(w2)=0.1 。 现有一系列待观察的细胞,其观察值为: -2.67 -3.55 -1.24 -0.98 -0.79 -2.85 -2.76 -3.73 -3.54 -2.27 -3.45 -3.08 -1.58 -1.49 -0.74 -0.42 -1.12 4.25 -3.99 2.88 -0.98 0.79 1.19 3.07 两类的类条件概率符合正态分布,P(x|w1)~N(-2,1.5), P(x|w2)~N(2,2), 风险决策表为λ12=7,λ21=2,λ11=λ22=0。 1)依据最小错误率的贝叶斯决策对观察的结果进行分类。 2)依据最小风险的贝叶斯决策对观察的结果进行分类。(1) According to the Bayes decision of the minimum error rate,the observation results are classified. 2) According to the Bayesian decision of minimum risk, the observed results are classified.)
Platform: | Size: 674816 | Author: 蝴蝶会唱歌 | Hits:

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