Search - bayesian decision error matlab

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[Internet-Network] 贝叶斯判决 DL : 0: 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.)
Date : 2025-12-19 Size : 659kb User : 蝴蝶会唱歌