对改进的联想记忆器的研究

An Improved Naive Bayes Algorithn

运用统计物理学的平均场理论来研究改进的联想记忆器问题．通过对三阶输出函数的有关网络状态的稳定性讨论，提出了一种对伪态的影响加以削弱的方法。

Although Naive Bayes algorithm, which is based on the assumption that every attribute is independently given the class, is shown to be surprisingly accurate for some classification tasks, yet in some large databases, the accuracy of Naive Bayes doesn't scale up other complicated algorithms. An improved algorithm is thus proposed which join the attributes according to their degree of dependency. Experiments show that this new approach out performs Naive Bayes algorithm in many databases, especially in those areas where decision tree algorithm such as C4.5 performs well.