本文通过引进“概率元”，把连续型和离散型两类求概率分布的方法统一起来，建立起“概率元法”的理论及其计算方法。
Introduced is this paper are the probability differential method and the unify way of calculating the probability distribution of the continuous type and that of the discrete type.
概率分布为离散型和连续型两种。
Probability distributions are classified as either discrete or continuous.
论文分析了基于熵的离散化方法的不足，从估计训练样本的概率分布的角度出发，提出基于样本分布与熵相结合的处理数值型属性的方法。
By the method of estimating the probability distribution of training examples, a new and simple method of dealing with numeric attribute based on example distribution and entropy is turned out.
论文分析了基于熵的离散化方法的不足，从估计训练样本的概率分布的角度出发，提出基于样本分布与熵相结合的处理数值型属性的方法。
By the method of estimating the probability distribution of training examples, a new and simple method of dealing with numeric attribute based on example distribution and entropy is turned out.
应用推荐