classification model造句

• Research on chinese text classification model based on svm
  基于支持向量机的中文文本分类模型研究
• Study on object oriented classification model of cooperative template
  面向对象的协同模板分类模型研究
• A construction approach of user profiles based on classification model
  基于分类模板的用户模型构造方法
• Bayesian classification model based on attribute correlation analysis
  基于属性相关性分析的贝叶斯分类模型
• A personality - based instant messaging software user classification model
  基于人格特征的即时通讯软件用户分类模型
• The important part of the thesis is the extraction of clustering guided classification model
  论文的重点是在文本聚类指导下的分类模式的提取。
• In this paper , we presented a gas classification model which based on synthetic consideration of all the processing methods
  结合气体等级识别的要求,在综合各种信号处理方法的基础上,提出了基于电子鼻的气体等级鉴别模型。
• Decision trees are widely applied in data mining for its character such as simplicity and concision compared with other classification models
  在数据挖掘领域，相对于其它而言模型决策树具有简洁、高效等特点，故其应用最为普遍。
• The destination of classification is to learn a classification function or classification model that can map a data item to a preassigned class
  分类的目的是学会一个分类函数或分类模型，该模型能把数据库中的数据项映射到给定类别中的某一个。
• Secondly , decision tree classification model and logistic regression model are performed to rock mass quality assessment , based on sas / enterprise miner
  应用sas enterpriseminer系统的决策树分类算法和logistic回归算法进行岩体的质量分级评价。
• Therefore , it is a puzzle to study the classification model , increase the class number and improve the detection ratio according to the classic classification algorithms
  因此，不管是分类模型的建立，还是分类类别数目的扩展和分类率的提高，难度都相当大。
• The content is emphasized in the thesis : with using data mining and machine learning algorithm , the training and classification models of intrusion detection is achieved
  通过使用数据挖掘和机器学习算法得到入侵检测学习和分类模型，最终实现自适应的入侵检测。
• According to some right logging data and the theories of nerve network and fuzzy identify , an accurate reasonable classification model for the reservoir is established ; 2
  选择合适的测井数据，应用神经网络理论及模糊识别理论，建立准确、合理的储层分类模型； 2
• In this thesis , a rse algorithm model based on rough set theory and entropy theory is presented , which contains two components - classification model and prediction model
  本文提出了一种基于粗糙集合和信息熵的rse算法模型，该算法模型包括两个组成部分一分类模型和预测模型。
• Since scientific papers are usually semi - structural documents , a hierarchy classification model based on the metadata of scientific papers is proposed , where the metadata include the titles , keyword sets , abstracts and so on
  摘要针对科技论文具有半结构化的特点，提出利用科技论文的元数据的多层次分类模型。
• To solve this probiem , this thesis prov i des a domain - based vector space mode 1 by bu i 1 di ng a classification model and offer i ng the method to cal culate the documents " weight in the domains
  针对此问题，本文提出一种基于领域的向量空间模型，建立了一个领域分类模型，并给出了计算信息在各领域中权值的方法。
• At the same time , after successful absorbent of the factor of misclassification cost into splitting principle of decision tree algorithm , the classification model gets a high improvement in accuracy and adaptation
  同时，在传统的决策树算法的分裂准则中成功引入了误分代价的因素，从而提高了分类模型的准确性和适用性。
• The classification models have been frequently used are decision tree , neural network , genetic algorithms , rough sets and statistical models . this paper is mainly focused on the decision tree and neural network model
  常用的分类模型有决策树，神经网络，遗传算法，粗糙集模型，统计模型等。本文主要研究决策树和神经网络模型。
• In this thesis , i first introduce the current research situation in related fields , then i introduce the analysis and classification models , especially , i analyze system backdoor in detail
  本文在总结国外相关研究现状的基础上，首先建立起安全漏洞的分析和分类模型，特别对一种特殊的安全漏洞，开发商留下的后门作详细的分析。