Then the proposed classifier model is used to solve this problem.
最后运用所设计的分类器模型解决了该票房预测问题。
This paper mainly introduces the TAN classifier model, its building method and class method.
主要介绍了贝叶斯网络分类器中的TAN分类器的模型、构造方法及分类方法。
Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
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。
A typical model that started as just requirements may also include structural classifier models that express interactions.
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。
Experimental results show that the new classifier model speeds up the test speed and improves the classification accuracy.
应用结果表明，该方法能加快测试速度，提高分类精度。
To solve the problem of false positive in micro-calcification detection, a double-layer support vector classifier model with reject feature is proposed.
为克服微钙化点检测中假阳性高的缺点，本文构造了一种带拒识能力的双层支持向量模型分类器用于钙化点检测。
This paper, based on the theory and method of artificial nerve networks and fuzzy sets, puts forward a classifier model used for diagnosing the quasi-heath state.
利用人工神经网络与模糊集的理论和方法提出了诊断亚健康状态的一种分类器模型。
There are times when you might want to model these classifier types on a structure diagram, and it is important to use the proper notation in doing so, or at least be aware of these classifier types.
你可能想在结构图上模仿这些分类器类型，在这个时候，使用正确的记号来表示，或者至少知道这些分类器类型是重要的。
Thus, to run Mahout's classifier, you need to first train the model and then use that model to classify new content.
因此，要运行Mahout的分类器，您首先需要训练模式，然后再使用该模式对新内容进行分类。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition.
提出了一种在线进行调制识别的系统模型，并给出一种基于神经网络的快速收敛分类器算法。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
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）。
A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.
最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。
Then two above recognition model are fused at decisional level, the model and method of cutting tool state recognition based on classifier fusion is proposed.
再对上述两种识别模型进行决策层融合研究，提出了基于分类器融合的刀具状态识别模型和方法。
Classification needs to construct a model (also called classifier) which makes a map of records in Database with a peculiar class label.
分类是要构造一个数学模型(分类器)，该模型能把数据库的记录映射到某一个特定的类别。
The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system.
在车牌字符识别中引入了误识模型和多分类器集成技术。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
When a new data fed into the integrated model, a classifier will deliver the new data into different non-linear local ANN model.
当新的信息进入该模型时，首先用分类器判别其类别，以确定用混合模型中的何种局部模型加以模拟。
An MSS spectral form correlation model and a histogram decision tree classifier are presented.
本文提出MSS数据波谱形态相关模型和直方图决策树分类法。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
The classification of the document model, using Bayesian classifier, can dynamically adjust the parameters of feedback devices.
对文档模型的分类，采用了贝叶斯分类器，并动态调整反馈器的参数。
We exemplify this with a novel classifier chains method that can model label correlations while maintaining acceptable computational complexity.
我们举例说明这一种新型分类器链方法，它可以同时维持可接受的计算复杂性模型标签关联的。
We contribute to automatic target recognition (ATR) by a hidden Markov model (HMM) based classifier, with parameters of scattering centers.
提出用散射点参数作为识别特征，用隐马尔可夫模型（HMM）作分类器的雷达目标识别方法。
Finallly taking advantage of the trained network model as a classifier, we implemented a multi-level strategy Chinese character recognition system.
并利用训练后得到的网络作为分类器设计并实现了一种多级策略的汉字识别系统。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
This feature vector made the Gaussian Mixture Model (GMM) classifier outperform MFCC and Differential MFCC features in classification.
该混合特征使得高斯混合模型(GMM)分类器可获得比使用MFCC特征及其差分MFCC更好的分类性能。
By model tests, the influence of the operation parameters on the classification performances of the classifier were studied.
通过实验，研究了不同操作参数对分级机分级性能的影响。
In designing web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.
在文本分类器的设计中，用传统信息检索的空间向量模型改进了朴素贝叶斯分类器，提高了它的分类精度。
The property and applicable range of each model is analyzed, and the Pattern classifier is also designed with respect to each model.
分析了每种模型的性质和适用范围，设计了针对不同模型的模式分类器。
Our main products such as Impact Mill, Jet Mill and Air Classifier featured with low consumption have become the model in the fine powder processing.
正远的产品和技术以低能耗、高精度已成为粉体加工应用的典范。
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