计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
10期
111-112
,共2页
朴素贝叶斯分类器%独立性假设%Copula函数
樸素貝葉斯分類器%獨立性假設%Copula函數
박소패협사분류기%독립성가설%Copula함수
Naive Bayesian classifier%independence assumption%Copula function
利用Copula的理论提出了基于Copula贝叶斯分类算法,克服了一般的朴素贝叶斯分类器要求属性独立性假设的不足,进一步扩展了朴素贝叶斯分类器,实验结果表明,基于Copula贝叶斯算法取得了较好的分类效果.
利用Copula的理論提齣瞭基于Copula貝葉斯分類算法,剋服瞭一般的樸素貝葉斯分類器要求屬性獨立性假設的不足,進一步擴展瞭樸素貝葉斯分類器,實驗結果錶明,基于Copula貝葉斯算法取得瞭較好的分類效果.
이용Copula적이론제출료기우Copula패협사분류산법,극복료일반적박소패협사분류기요구속성독립성가설적불족,진일보확전료박소패협사분류기,실험결과표명,기우Copula패협사산법취득료교호적분류효과.
In this paper,a Bayesian classification algorithm based on the theory of Copula is presented,it overcomes the lack of attribute independence assumption which the general Naive Bayesian classifiers request,and further expands the Naive Bayesian classifiers.The results show that classification results have been markedly improved by using the Bayesian classification algorithm based on Copula.
