多元数据集遭受着表征的问题，因为三维以上超越了绘图程序的能力。
Multivariate data sets suffer from the problem of representation, since a dimensionality above 3 is beyond the capability of plotting programs.
在这个真是的情境中，学习者的知识背景构成和多元记忆表征方式是衡量学习是否成功的关键。
What's in this context, the learner's knowledge background and multi-memory representation constitutes a way to measure learning is the key to success.
用双酚a型环氧树脂与乙酸反应，合成了具有刚性骨架的环氧树脂加成多元醇(EAP)，并用FTIR与1h - NMR对其进行了表征。
A new kind of epoxy resin adduct polyol (EAP) with rigid backbone was synthesized by the reaction of bisphenol - a type epoxy resin with acetic acid and characterized with FTIR and 1h - NMR.
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