为了编码XML文档的标签和路径，它在不同的间隔使用反向算术编码方法。
To encode the labels and paths of XML documents, it uses a reverse arithmetic encoding method over distinct intervals.
绘制水平和垂直轴线后，沿着它们的标签绘制网格线，方法是均匀间隔它们，然后使用相同的moveTo、lineTo和stroke组合来绘制这些直线。
After drawing both axes, you draw the gridlines along with their labels by evenly spacing them and then drawing the lines using the same combination of moveTo, lineTo, and stroke.
为了扩大这个间隔，选择itemsforPurchase标签并按下键盘上的向下箭头键将该项目移动到它的正确位置。
To widen that interval, select the Items for Purchase label and press the down-arrow key on your keyboard to move the item to its proper location.
针对多标签主动学习速度较慢的问题，提出一种基于平均期望间隔的多标签分类的主动学习方法。
Aiming at the problems that active learning in multi-label classification is slowly, this paper proposes an improved method for multi-label classification which based on average expectation margin.
支持向量机（SVM）反问题研究的是如何把无类标签的数据集合分成两类才能得到最大的间隔。
The inverse problem of Support Vector Machine (SVM) is how to split the dataset into two clusters so that the margin between the two clusters reaches maximum.
支持向量机（SVM）反问题研究的是如何把无类标签的数据集合分成两类才能得到最大的间隔。
The inverse problem of Support Vector Machine (SVM) is how to split the dataset into two clusters so that the margin between the two clusters reaches maximum.
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