分类与估值（Classification and Estimation）分类指通过分析一个类别已知的数据集的特征来建立一组模型， 该模型可用以预测类别未知的数据项的类别。
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And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.
证明了一个分类网络的测试集正确率是该网络推广能力的极大似然估计；
The limitation of geological conditions is important to model a deposit. The geological statistics methods are effective for ore grade estimation and reserve classification.
地质控制条件限制是矿床建模的重要手段， 地质统计学方法是矿块品位估计以及储量分级等的有效方法。
A function named CAMDF is proposed as well as the CAMDF-based algorithms for speech classification and pitch estimation. The algorithms are used for the coding schemes in this thesis.
提出了CAMDF函数，以及基于CAMDF的语音分类与基音估计算法，并在本文的压缩编码方案中得以运用。
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