Rimm also notes that, during C-Path's training, the team had to include 42 samples from the validation set to account for differences in the staining technique used in the two data sets.

Rimm还强调，在C颈训练中必须包括来自验证集的42个样本，用来解释在两个数据集中运用染色技术的不同。

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And the classifier's performance may be improved by filtering the samples in the training set.

在训练网页分类器时，对网页样本集进行有效地筛选有可能改善分类器的性能。

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Firstly, sample set is roughly classified using ART to reduce the scale of samples, in training set, and then all small training sets is trained using parallel BP.

首先用ART网络对训练集中的样本进行粗分类，以减小训练集的样本规模，然后用多个BP网络并行地对小训练集进行训练。

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