训练样本也称训练区,是指分析者在遥感图像上确定出来的各种地物类型的典型分布区。训练样本的选择与评价直接关系分类的精度,是监督分类的关键。
训练数据(training data):训练过程中用到的数据 训练样本(training sample):训练用到的每个样本 训练集(training set):训练样本组成的集合 假设(hypothesis):学得模型对应了关于数据的某种潜在规则,...
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它较好地匹配了树的复杂性和训练样本量及错分率界。
It well matches the tree complexity to the training data and the misclassification rate bound.
训练样本应该是纯文本,是从涉及的目录的样本文档中提取出来的。
A training sample needs to be pure text, extracted from a sample document of the category in question.
在进行训练时,将训练样本导入Workbench中,并确保与样本相关联的目录是正确。
For the training itself, import the training samples into Workbench and make sure that the categories associated with the samples are correct.
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