A new approach, support vector machine, can be used to assess the reliability of IC with small sample. Bayes method and SVM are used widely in software reliability assessment and reliability forecasting nowadays.
近年来发展的支持向量机在小子样可靠性评估中具有独特的优势，已在软件可靠性评估和可靠性预测方面取得了重要应用。
Application of bayes network on estimation of machine fault probability
Bayes网络在机械故障概率估计中的应用
Method of word sense disambiguation based on bayes and machine readable dictionary
一种基于贝叶斯分类与机读词典的多义词排歧方法
A method based on the bayes and machine readable dictionary was proposed, which could disambiguate by the training of a small-scale corpus and the definition of semantic in machine dictionary.
提出了一种基于贝叶斯分类与机读词典的多义词排歧方法，通过小规模语料库的训练和歧义词在机读词典中的语义定义来完成歧义的消除。
The MLE Algorithm on the Bayes Network for Machine Fault Diagnosis
用于机械故障诊断Bayes网络的MLE学习方法
The techniques of classification include rough sets, neural network, statistics, naive bayes, support vector machine (SVM) and decision tree, etc.
目前分类技术主要有粗糙集理论、神经网络、统计方法、朴素贝叶斯、支持向量机和决策树等。
At present, there are many pattern classification algorithms, mainly including bayes classifier, support vector machine, K nearest neighbor method and so on.
目前，模式分类的算法比较多，常用的有贝叶斯分类器、支持向量机、K近邻法等。
The paper promotes an unknown virus detection technology based on Bayes method and explores the extraction of features and machine learning. The paper also gives an unknown virus detection framework and the evaluations and results.
基于贝叶斯算法的未知病毒检测技术，对代码的特征提取、机器学习方法进行了研究和探讨，给出了未知病毒检测系统的基本框架，并给出了评估方法和实验结果。
The word sense classifiers established by Naive Bayes model, Maximum Entropy method and Support Vector Machine were used as reference models in experiments which the effectiveness of Bayesian model improved by information gain.
实验中以朴素贝叶斯模型、最大熵方法和支持向量机建立的词义分类器作为参照模型，讨论信息增益改进贝叶斯模型的效果。
Traditional machine learning method include neural network、wavelet network、fuzzy system、bayes categorizer and fuzzy division and the general novel machine learning method, support vector machine, which is based on statistics learning theory.
传统的机器学习方法主要有神经网络、小波网络、模糊系统、贝叶斯分类器和模糊划分、及建立在统计学习理论基础的新的通用机器学习方法&支持向量机。
We carry out the recognizing by two methods & Bayes algorithm and improved Bayes algorithm, and analyse the result from the two machine learning algorithms.
使用了两种机器学习算法一Bayes算法、改进Bayes算法实现了网页识别，并对两种机器学习算法的效果进行了实验分析。
A large number of classical pattern recognition learning algorithm has applied into text classification already, such as near neighbor's classification, Bayes decision way, decision tree, neural network and support vector machine etc.
大量经典的模式识别学习算法已经被应用于文本分类中，如近邻分类法，贝叶斯决策法，决策树，神经网络，支持向量机等。
By the comparative study of some models, The Naive Bayes model and Maximum Entropy are better than other models in performance, especially the Na? ve Bayes model, it is convenient over construction and realization, and machine learning process is brief and efficient.
通过各个模型的比较研究，发现贝叶斯模型和最大熵模型性能比其它几个模型更为理想，尤其是贝叶斯模型，在构建和实现上比其它几个模型相对要简便易用，机器学习过程也简洁高效。
Two mining algorithms are used, Decision Tree and Naive Bayes, to build the predictive model from a dataset provided by UCI Machine learning and repository for machine learning and intelligence system.
同时选择了两个数据挖掘算法，分别是决策树和朴素贝叶斯算法，利用机器学习和智能系统的UCI机器学习资源库提供的数据集建立预测模型。
Reliability Research on CNC Machine Tools Based on Bayes Method
基于Bayes方法的数控机床可靠性研究
The existing distributed machine learning algorithm library, Mahout, offers some classic classification algorithm, such as Bayes and decision trees.
现有的分布式机器学习算法库Mahout，提供了一些经典的分类挖掘算法，如贝叶斯、决策树等。