beyes方法诞生于

1、Pr_omiga1=input('请输入第一类的先验概率:');百度Pr_omiga2=input('请输入第二类的先验概率:');Num=20;s1=mvnrnd([0 1],eye(2),Num)'s2=mvnrnd([2 0],3*eye(2),Num)'s11=s1(1,:);s12=s1(2,:);s21=s2(1,:);s22=s2(2,:);muGiven1=[0 1]';sigmaGiven1=eye(2);

3、 //显示类标号属性 ListClass(); DataSet ds1=BindCredentialDropDwon(); this.DropDownList2.DataSource=ds1; this.DropDownList2.DataTextField="CreditRating"; this.DropDownList2.DataValueField="CreditRating"; this.DropDownList2.DataBind();

5、 //收入的条件概率的计算 float pIncome=0; float _pIncome=0; pFrontCalculate烫喇霰嘴(out pIncome,out _pIncome,"Income","high"); string IncomeFrontYesProbility="p"+"(" + "Income="+ "/"high/"" +"|"+"IsBuyComputer="+ "/"yes/""+")"+"="+pIncome; string IncomeFrontNoProbility="p"+"(" + "Income="+ "/"high/"" +"|"+"IsBuyComputer="+ "/"no/""+")"+"="+_pIncom