1、Bayes Network is a new inference and express method of uncertain knowledge
摘要貝葉斯網(wǎng)絡(luò)是不確定性知識(shí)表達(dá)與推理的一種新方法。

2、A method for evaluating the Bayes Judge function is also presented.
同時(shí)還給出了一種估算評(píng)判子函數(shù)的方法。

3、Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
貝葉斯分類模型是入侵檢測(cè)中用于攻擊類型分類的有力工具。

4、Secondly, the paper analyses the basic principle AIS and Bayes network.
其次，分析了人工免疫系統(tǒng)和貝葉斯網(wǎng)絡(luò)的基本原理。

5、The manpower model for software projects based on analysis of Bayes risk
基于貝葉斯風(fēng)險(xiǎn)分析的軟件項(xiàng)目人力資源模型

6、Research on Bayes method for estimating project cost
關(guān)于工程造價(jià)Bayes估算方法的探討

7、On the Bayes Risk Decision-making Analysis
淺談貝葉斯風(fēng)險(xiǎn)決策分析

8、The thesis discuss the application of Bayes Theorem and its generalization on construction project.
本文探討了貝葉斯定理及其推廣在工程建設(shè)項(xiàng)目中的應(yīng)用。

9、TAN takes the Nave Bayes classifier and adds edges to it, it is efficient extend of Nave Bayes.
樹擴(kuò)展型樸素貝葉斯（TAN）分類器放松了樸素貝葉斯的屬性獨(dú)立性假設(shè)，是對(duì)樸素貝葉斯分類器的有效改進(jìn)。

10、Naive Bayes Text Classifier Based on Word Clusters
基于單詞簇的樸素貝葉斯文本分類器

11、The quaternary structure was classified using support vector machine method and Bayes method.
用支持向量機(jī)和貝葉斯兩種方法對(duì)蛋白質(zhì)四級(jí)結(jié)構(gòu)進(jìn)行分類研究。

12、The first approach is a simple Map-Reduce-enabled Naive Bayes classifier.
第一種方法是使用簡(jiǎn)單的支持Map - Reduce的Naive Bayes分類器。

13、On the base of statistics, the bayes network is a method of data mining.
貝葉斯網(wǎng)絡(luò)以統(tǒng)計(jì)學(xué)為基礎(chǔ)，是數(shù)據(jù)挖掘技術(shù)的一種方法。

14、Bayes factor is the major tool for model selection in Bayesian Statistics.
在貝葉斯統(tǒng)計(jì)學(xué)中，貝葉斯因子是進(jìn)行模型選擇的主要工具。

15、Bayes Network is a new inference and express method of uncertain knowledge.
摘要貝葉斯網(wǎng)絡(luò)是不確定性知識(shí)表達(dá)與推理的一種新方法。

16、A Bayes Trust Model for Open Distributed System Security
開放分布系統(tǒng)安全中的Bayes信任模型

bayes翻譯