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資源簡介


 貝葉斯決策就是在不完全情報下,對部分未知的狀態用主觀概率估計,然后用貝葉斯公式對發生概率進行修正,最后再利用期望值和修正概率做出最優決策。   貝葉斯決策理論方法是統計模型決策中的一個基本方法,其基本思想是:   1、已知類條件概率密度參數表達式和先驗概率。   2、利用貝葉斯公式轉換成后驗概率。   3、根據后驗概率大小進行決策分類。

資源截圖

代碼片段和文件信息

#include
#include
#include
#include“voting.h“
//選擇一個數據進行測試,訓練樣本集為voting
int?t;
double?train[SIZE1-1][SIZE2];
double?test[SIZE2];

void?Choice(int?n)
{
int?ij;
????/*srand((unsigned)time(NULL));
n=rand()%SIZE1;*/

//cout< for(i=0;i test[i]=voting[n][i];
}
for(i=0;i for(j=0;j train[i][j]=voting[i][j];
}
}
for(i=n+1;i for(j=0;j train[i-1][j]=voting[i][j];
}
}
}

void?Classifier(void)
{
double?num1num2n1n2;
int?ij;
double?p1p2p11p22;
double?p[SIZE2-1][2];
num1=n1=n2=0;
p11=p22=1;
for(i=0;i if(train[i][0]==1)
num1+=1;
}
num2=SIZE1-1-num1;
p1=num1/(num1+num2);
p2=num2/(num1+num2);
??? for(j=1;j for(i=0;i if(train[i][0]==1&&train[i][j]==test[j])
n1+=1;
if(train[i][0]==2&&train[i][j]==test[j])
n2+=1;
}
if(n1==0)p[j-1][0]=p1/(num1+num2);

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????1725??2005-03-08?09:46??Bayesian1\bayesian.cpp

?????文件??????????0??2007-03-21?09:23??Bayesian1\bayesian1.cpp

?????文件???????3562??2005-03-08?10:22??Bayesian1\bayesian1.dsp

?????文件????????543??2005-03-08?10:22??Bayesian1\bayesian1.dsw

?????文件??????50176??2007-03-21?09:23??Bayesian1\Bayesian1.ncb

?????文件??????48640??2007-03-21?09:23??Bayesian1\bayesian1.opt

?????文件????????761??2005-03-08?09:57??Bayesian1\Bayesian1.plg

?????文件???????3019??2005-03-09?16:47??Bayesian1\bupa.cpp

?????文件???????8182??2005-03-09?16:07??Bayesian1\bupa.data

?????文件???????3377??2005-03-09?16:23??Bayesian1\bupa.dsp

?????文件????????533??2005-03-09?16:55??Bayesian1\bupa.dsw

?????文件???????8275??2005-03-09?16:25??Bayesian1\bupa.h

?????文件??????33792??2005-03-09?16:55??Bayesian1\bupa.ncb

?????文件??????48640??2005-03-09?16:55??Bayesian1\bupa.opt

?????文件???????1408??2005-03-09?16:47??Bayesian1\bupa.plg

?????目錄??????????0??2007-03-25?20:59??Bayesian1\Debug

?????文件??????????0??2005-03-08?11:12??Bayesian1\Mushroom.cpp

?????文件??????????0??2005-03-08?11:12??Bayesian1\mushroom.h

?????文件???????8157??2005-03-10?20:00??Bayesian1\new1voting.cpp

?????文件???????3449??2005-03-10?18:49??Bayesian1\new1voting.dsp

?????文件????????545??2005-03-10?20:00??Bayesian1\new1voting.dsw

?????文件??????41984??2005-03-10?20:01??Bayesian1\new1voting.ncb

?????文件??????48640??2005-03-10?20:00??Bayesian1\new1voting.opt

?????文件???????1251??2005-03-10?20:00??Bayesian1\new1voting.plg

?????文件???????7711??2005-03-10?16:02??Bayesian1\newvoting.cpp

?????文件???????3437??2005-03-10?12:47??Bayesian1\newvoting.dsp

?????文件????????543??2005-03-10?16:02??Bayesian1\newvoting.dsw

?????文件??????41984??2005-03-10?16:02??Bayesian1\newvoting.ncb

?????文件??????48640??2005-03-10?16:02??Bayesian1\newvoting.opt

?????文件???????1152??2005-03-10?14:54??Bayesian1\newvoting.plg

............此處省略26個文件信息

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