Classification by machine learning is an important technique to predict gene functions.
应用机器学习进行分类是基因功能预测的一种重要手段。
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
用这些特征构成句子向量表示，并用机器学习的方法对其进行训练得到器，从而把自动文摘转换为分类问题。
By using rough set theory, this paper structures classification rules and processes the support vector machine feedback results with learning the train set.
利用粗糙集理论，通过对训练集的学习，构造分类规则，对支持向量机反馈后的结果再次进行处理。
Secondly, the system can distinguish the domain of the web page and understand the document at the concept level by text classification, clustering and concept extraction based machine learning.
其次，采用机器学习技术，包括文本分类、聚类，文本概念抽取，从概念层次理解文本信息；
Its effectiveness has been testified by computer simulating experiment and it can be regarded as a promising machine learning for the pattern classification system.
该算法的有效性已由计算机仿真实验所证实，可被认为是一种很有发展前途的模式分类系统的机器学习算法。
It makes question classification model from the existing knowledge base by using machine learning.
它是利用机器学习的方法，从已存在的知识库中构造出问题分类模型。
It makes question classification model from the existing knowledge base by using machine learning.
它是利用机器学习的方法，从已存在的知识库中构造出问题分类模型。
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