Exemplar learning is one of common methods in machine learning.
实例学习是机器学习中的一种常见的方法。
In this paper, first we make the linguistic analyses and statistics of corpora. Then we introduce a method of identification of Chinese names based on exemplar learning.
本文在对大量语料的语言现象的统计与分析的基础上，提出了一种用实例描述语言现象，用相似度计算识别人名的方法。
This learning is a prerequisite to being able to say, twenty years from now, that software development is an exemplar of quality and value.
只有把这种学习做为一种首要条件，我们才能说二十年后的软件开发是体现质量和价值的典范。
This study adopted the paradigm of sequence learning and used different exemplar quantities to test the effects of exemplar quantity on implicit sequence learning.
本研究采用序列学习范式，探讨了样例数量对内隐序列学习的影响，以揭示意识在学习中的作用以及内隐学习获得的知识表征。
This study adopted the paradigm of sequence learning and used different exemplar quantities to test the effects of exemplar quantity on implicit sequence learning.
本研究采用序列学习范式，探讨了样例数量对内隐序列学习的影响，以揭示意识在学习中的作用以及内隐学习获得的知识表征。
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