文件名称:beiyesi
介绍说明--下载内容均来自于网络,请自行研究使用
1 通过实验,掌握多元正态分布的最大似然估计;
2 掌握多元正态分布下的最小错误率的贝叶斯分类;
3 对其他的参数估计有更深的认识。
-1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier 3 on the other have a better understanding of parameter estimation.
2 掌握多元正态分布下的最小错误率的贝叶斯分类;
3 对其他的参数估计有更深的认识。
-1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier 3 on the other have a better understanding of parameter estimation.
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下载文件列表
马新悦 0610210076 实验2&3\fit_gaussians.m
............................\gaussian_classify.m
............................\gaussian_data.mat
............................\gaussian_density.m
............................\mian.m
............................\plotdata.m
............................\实验报告 参数估计及贝叶斯分类.docx
马新悦 0610210076 实验2&3
............................\实验报告 参数估计及贝叶斯分类.doc
............................\gaussian_classify.m
............................\gaussian_data.mat
............................\gaussian_density.m
............................\mian.m
............................\plotdata.m
............................\实验报告 参数估计及贝叶斯分类.docx
马新悦 0610210076 实验2&3
............................\实验报告 参数估计及贝叶斯分类.doc