Minimum Classification Error (MCE) criterion based sub-words weighting parameters estimation algorithm is proposed in which the sub-word weighting parameters are derived by the MCE training.

本文提出了一种基于最小分类错误准则(MCE)的子词权重参数估计算法，通过MCE训练得到子词的权重系数。

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An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.

提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。

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The experiment based on UCI data sets proves the algorithm can obtain a faster training rate and higher classification accuracy.

随后的基于UCI数据集的实验结果表明，该算法获得较快的训练速率和较高的分类精度。

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Jeff Catlin, CEO at Lexalytics, the analytical engine used by Reuters, said that in financial services the company uses a training based classification model.

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