给出了空间中的样本分类判别准则和分类模型。
The classification criteria and classification model in the Rd space were presented.
本文论述了一个图书自动分类模型的设计开发过程。
The design and development of an automatic library classification model is discusses in the paper.
提出了一种基于投影寻踪回归的文本自动分类模型。
This paper presents an automated text classification model based on projection pursuit regression.
我本想带您亲历用适合于分类模型的数据生成一个分类树的全过程。
I wanted to take you through the steps to producing a classification tree model with data that seems to be ideal for a classification model.
业务角色和它们相关联的用例，显示了如何对分类模型数据进行报表？
Business actors and their associated use cases, which show how to report on grouped model data.
贝叶斯分类模型是入侵检测中用于攻击类型分类的有力工具。
Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
一个从需求开始的典型模型可能还会包括结构化的表达交流的分类模型。
A typical model that started as just requirements may also include structural classifier models that express interactions.
分类模型由属性模型集成得到，属性权重根据属性相似度计算。
Classification model is integrated by every attribute model, and attribute weight is calculated by attribute similarity.
该方法解决了传统算法产生规则太多，分类模型难以理解的问题。
Through this approach, we solved the problem of generating too many rules that make the classification model complex.
优选地，本发明的性能预测有效利用了经过训练的噪声分类模型。
Preferably, the inventive performance prediction makes effective use of trained noise classification models.
探讨了在CRM系统中，基于模糊ISODATA的客户分类模型。
The paper discussed a model of customer classification based on Fuzzy ISODATA in CRM system.
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.
提出一种基于改进的分类模型的文本分类系统来实现文本的自动分类。
A text classification system based on improved classification model presented in this paper is used to realize automatic text classification.
第二、建立文本分类模型，使用大量的有害信息样本数据训练分类模型。
Secondly, Building text categorization model, and training the model by a great many harmful information samples data.
基于涌现原理，提出了三种模式分类模型：模型推理、特征融合和模式联想。
Bring up three pattern classifying models: pattern reasoning, character fusions and pattern associated based on the principle of emerge.
本文提出了一种根据汉字统计特性和基于实例映射的中文文本自动分类模型。
This paper proposes an example based mapping method, which USES Chinese properties of CCs for Chinese text categorization.
结果表明，基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。
Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.
运用博弈论以及约束条件下优化的方法，推导出企业债务战略效应的分类模型。
Using game theory and optimized approach, the classified models about strategic effect of debt under the condition of uncertainty were derived.
利用训练文档的类信息对文本分类模型进行建模，提取对分类贡献较大的特征。
Use the class information of training set to build the model, and extract the feature benefit to classification.
本文提出了全局上下文属性和局部上下文属性两类属性作为分类模型的特征属性。
Two kinds of features, global context feature and local context feature, are proposed as the classification features.
通常，在这个分类模型中可以达到最好分类(例如采用最邻近法则)的对象不多。
Usually, they are limited to assigning objects to the class model that fits best, e. g. by the nearest neighbor rule.
文章指出，客户价值核定、客户分类模型及客户管理策略都是客户管理的重要手段。
The article maintains that the value of customers appraisal, customers classification model and customers management strategies are all important methods of customers management.
基于非平衡数据集的支持向量域分类模型，提出了一种银行客户个人信用预测方法。
A new predication method of customer credit of Banks is proposed based on the support vector domain classification model of non-balance data set.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
探讨了将逐步回归分析方法用于船舶柴油机黑色金属磨损状态分类模型的方法和技术。
The stepwise regression analysis approach, which is used to classify the wear model of Ferrous metal in ship diesel, is discussed.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
这是因为分类模型得到的结果，只有59 %的准确率，而这完全不能接受(比猜想好不到哪去)。
Because, if you remember the results of that model, it was only 59-percent accurate, which wasn't acceptable at all (barely better than guessing).
与我们在之前文章的回归和分类模型中所做的类似，我们接下来应该选择Classify选项卡。
Like we did with the regression and classification model in the previous articles, we should next select the Classify TAB.
知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。
Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.
知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。
Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.
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