Suppose that multiple experts (or learning algorithms) provide us with alternative Bayesian network (BN) structures over a domain, and that we are interested in combining them into a single consensus BN structure. Specically, we are interested in th
这是我写的一个论文，关于朴素贝叶斯分类器经过属性权重调整提升分类性能并提出了新算法，名字是WAODE，摘要如下：
Averaged One-Dependence Estimators (AODE) is one of supervised learning algorithm, which relaxes the conditional independent assumption that working on the standard naive Bayes learner. The AOD
