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.

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概率分布为离散型和连续型两种。

Probability distributions are classified as either discrete or continuous.

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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.

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