The accuracy and the main features of Bayesian classification models are analyzed.
对贝叶斯分类模型的准确性及其主要特点进行了分析。
Sparse Bayesian classification is applied to recognize and classify vehicle models.
利用稀疏贝叶斯分类器对检测到的汽车进行车型分类。
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
In this paper, a level set segmentation algorithm based on Bayesian classification for medical image segmentation was proposed.
本文提出了一种结合贝叶斯分类的水平集方法用于医学图像分割。
It is compared with two kinds of classifier, which is based on the principle of immunity, and traditional Bayesian classification.
与两种基于免疫原理的文本分类方法和传统的贝叶斯分类器进行了比较研究。
Methods The data on 343 kinds of infectious disease symptoms, signs were collected and Bayesian classification model was constructed.
方法收集343种传染病症状、体征数据，运用贝叶斯算法建立分类模型。
A Naive Bayesian classification based on clustering principle (CNBC) by introducing clustering algorithm into Naive Bayesian classification.
将聚类算法引入到朴素贝叶斯分类研究中，提出一种基于聚类的朴素贝叶斯分类算法(CNBC)。
The Bayesian classification technique which is relatively more mature in field of fuzzy recognition is applied to the detection technique of P2P deep flow inspection.
P2P应用软件检测技术主要是深度包检测法和深度流量检测法。
Then in allusion to these two important factors, a concept of incremental learning and a loss extent parameter are put forward in this paper, and Native Bayesian Classification.
文中针对该算法这两个最主要的缺陷，提出增量学习概念，引入损失幅度参数，改进和完善朴素贝叶斯分类算法。
The Bayesian classification technology in Data mining was discussed, and the research was emphasized on the basic principle and the work procedure of the Naive Bayesian classification technology.
对数据挖掘中的贝叶斯分类技术进行了讨论，重点分析了朴素贝叶斯分类技术的基本原理和工作过程。
For example, NLTK has a whole framework for text classification using statistical techniques like "naive Bayesian" and "maximum entropy" models.
例如，NLTK有一个完整的框架，用于通过类似于“naiveBayesian”和“maximumentropy”等模型的统计技术进行文本分类。
Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.
贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。
Although text classification with Bayesian classifier is simpler, intuitionistic and stable in performance, they still face with some significant problems in some complex text classification tasks.
基于贝叶斯模型的文档分类具有简单、直观、性能稳定的优点，但面对复杂的文档分类问题，仍然存在许多急待解决的问题。
We extended the Naive Bayesian Classifier, applied it in the relational classification filed, and introduced the concept of user's guidance.
对朴素贝叶斯分类算法进行拓展，使其应用到多关系数据分类领域，并引入了用户指导的概念。
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。
Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.
目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。
This paper adopts a middle way: It combines association rules with the ABN classification to construct a Bayesian classifier.
的翻译是：本文件采用一条中间道路：它结合了协会与abnamro分类规则，构建一个贝叶斯分类器。
This paper adopts a middle way: It combines association rules with the ABN classification to construct a Bayesian classifier.
的翻译是：本文件采用一条中间道路：它结合了协会与abnamro分类规则，构建一个贝叶斯分类器。
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