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- Compared with Bayesian classification model,experimental results show SANBC has higher accuracy. 实验结果表明,与朴素贝叶斯分类模型相比,SANBC分类模型具有较高的分类正确率。
- The knowledge management model may subdivide for the knowledge classification model,the intelligence capital model and the social structure model. 知识管理模型可分为知识分类模型、智力资本模型和社会结构模型等三种类型。
- 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。
- To solve this problem, we propose a new text classification model: Latent Semantic Classification (LSC) model by extending LSI model. 针对上述问题,在扩展LSI模型的基础上,我们提出了一种新的文本分类模型:潜在语义分类模型(Latent Semantic Classification:LSC)。
- We also presents the main quality pattern of QDMS,including quality forecast model,classification model and association model. 并介绍了质量数据挖掘的主要模型及方法,包括质量预测模型、分类模型和关联模型。
- The results show that the classification model of distance discriminant analysis excellent performance, high prediction accuracy. 研究结果表明,距离判别分析模型分类性能良好,预测精度高,回判估计的误判率很低。
- ObjectiveTo build an effective and exact reorganization and classification model for the quality control of Andrographis paniculata Nees. 目的建立高效准确的穿心莲样品识别模型,为进行质量控制提供参考。
- Last allow the features overpass the classification model,which created by decision tree and Markov model,to get the nodes last classification result. 最后将得到的节点特征通过由决策树和一阶马尔可夫链结合得出的分类模型进行分类。
- 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 data splitting using the method maximizes the classification model accuracy and at the same time minimizes the noise percentage between the training set and the test set. 通过该方法进行数据分割,不仅提高了分类模型的分类精度,而且能够最小化训练集和测试集之间的噪声百分比。
- Last allow the features overpass the classification model, which treated by decision tree and Markov model, to get the node's last classification result. 最后将得到的节点特征通过由决策树和一阶马尔可夫链结合得出的分类模型进行分类。
- The algorithm marks unlabeled instances using classifier ensemble technology and class-center method in each subspace, which update the classification model. 该算法在每个子空间上通过分类器集成技术和类中心法给未标记样本进行标记,从而使分类器模型得以更新。
- Past classification analysis research predominately focused on constructing a classification model from training instances whose attributes are atomic and independent. 此模糊分类系统是由多个子模糊系统所建构,而所对应的模糊法则乃取决于资料的分布情形。
- The results show that the classification model of distance discriminant analysis has excellent performance, high prediction accuracy;and can be used in practical engineering. 研究结果表明,距离判别分析模型分类性能良好,预测精度高,回判估计的误判率很低,是岩体质量等级分类的一种有效方法,可以在实际工程中进行推广。
- Comparing Variable Selection Methods for Microarray Classification Models Based on Logistic Regression. 根据逻辑回归方法来对微阵列归类模型做各种不同选择方法的比较。
- The following models were trained by backpropagation neural network program to establish classification models. 以倒传递类神经网路训练品种鑑别模式。
- Abstract This paper designs an automatic classification model which can analyze the experience in the manual indexing. The Military Information Resources Classification has an important effect on the programs. 摘要从目前数字图书馆的实际困难出发,提出一个依托《军事信息资源分类法》,挖掘人工标引经验,用之于自动分类的方案。
- Based on the characteristics of the crossfeed surface between the concrete dam body and foundation,the evaluation index and classification model for the crossfeed surface are established by using the dominant surface theory. 基于混凝土坝坝体与坝基互馈作用面的特性;运用优势面理论建立了坝体与坝基互馈优势面的评价指标和分类模型.
- Two way classification models with random effects are used widely.The variance components in these models are often estimated by ANOVA estimates. 摘要两向分类随机效应模型是一种有着广泛应用的统计模型,对其中的方差分量,经常使用方差分析法来估计。
- Standing by him was a model worker. 站在他旁的是一位劳动模范。