A method for evaluating the Bayes Judge function is also presented.

同时还给出了一种估算评判子函数的方法。

Secondly, the paper analyses the basic principle AIS and Bayes network.

其次，分析了人工免疫系统和贝叶斯网络的基本原理。

On the base of statistics, the bayes network is a method of data mining.

贝叶斯网络以统计学为基础，是数据挖掘技术的一种方法。

Bayes' regularization raises the ability to extend of BP neural network.

贝叶斯正则化方法提高BP神经网络的泛化能力。

The first approach is a simple Map-Reduce-enabled Naive Bayes classifier.

第一种方法是使用简单的支持Map - Reduce的Naive Bayes分类器。

Bayes factor is the major tool for model selection in Bayesian Statistics.

在贝叶斯统计学中，贝叶斯因子是进行模型选择的主要工具。

The quaternary structure was classified using support vector machine method and Bayes method.

用支持向量机和贝叶斯两种方法对蛋白质四级结构进行分类研究。

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。

The thesis discuss the application of Bayes Theorem and its generalization on construction project.

本文探讨了贝叶斯定理及其推广在工程建设项目中的应用。

A simple machine learning algorithm called naive Bayes can separate legitimate email from spam email.

一个简单的机器学习算法，朴素贝叶斯算法可以把正规邮件从垃圾邮件里面分离出来。

In this paper, we investigate enhancement of naive Bayes classifier using feature weighting technique.

该文利用特征加权技术来增强朴素贝叶斯分类器。

In the paper it puts forward and implements a hibernal tree automatic classification system based on Bayes.

提出并实现了一个基于贝叶斯的冬态树木自动分类的系统。

This paper proposes a method of denoising by the use of jointing Bayes estimation and scale space filtering.

提出了一种贝叶斯估计和尺度空间滤波相结合的滤波方法。

Especially when the current data are scarce or hard to obtain, the advantage of the bayes network is evident.

特别是在当前数据较少或者较难获得的情况下，贝叶斯网络的这一优点更加明显。

This paper discusses two methods of complete event group for complete probability formular and Bayes formular.

对全概率公式和贝叶斯公式，探讨了寻找完备事件组的两个常用方法。

It was found that the local accuracy and global accuracy are 73.1% and 76.1% respectively using Bayes methods.

结果表明，基于贝叶斯方法的局部预测率和全局预测率分别为73.1%和76.1%。

This paper presents an efficient automatic categorization system for Chinese journals based on Bayes classifier.

本文设计了一个有效的基于贝叶斯分类器的中文期刊自动分类系统。

The research of the real-word errors check mainly depends on some specific confusion sets and as well as Bayes theorem.

真词错误检查主要是利用贝叶斯定理，并通过建立一些特定的混淆集的方法来实现。

The origin of the concept of obtaining posterior probabilities with limited information is attributable to Thomas Bayes.

根据有限的信息得到的后定概率的原始概念是贝叶斯创造的。

The origin of the concept of obtaining posterior probabilities with limited information is attributable to Thomas bayes.

根据有限的信息得到的后定概率的概念最初是贝叶斯创造的。

The origin of the concept of obtaining posterior probabilities with limited information is attributable to thomas bayes .

根据有限的信息得到的后定概率的概念最初是贝叶斯创造的。

This paper primarily deals with the possibility to improve the forecast precision for Delphi method by use of Bayes' estimation.

本文主要探讨利用贝叶斯估计法改进特尔斐预测精确度的可能性。

In this paper, we investigate enhancement to naive Bayes classifier using feature weighting technique based on rough set theory.

本文基于粗糙集理论探索特征加权技术对朴素贝叶斯分类器的改进。

However, for this article, I'll show only the Naive Bayes approach, because it demonstrates the overall problem and inputs in Mahout.

但在本文中，我只会演示Naive Bayes方法，因为这能让您看到总体问题和Mahout中的输入。

The algorithm of discrete Bayes classifier is proposed. Then, formulas for estimating classifying error of Bayes classifier are deduced.

讨论了离散贝叶斯分类算法之后，推导了离散贝叶斯分类器的分类误差估算公式。

This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.

文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。

The experiment of Naive Bayes classification indicates that this method can effectively improve classification precision of Chinese texts.

基于朴素贝叶斯分类方法的实验表明，提出的方法能够有效提高中文文本的分类准确率。

Naive Bayes classifiers often break down when the size of the training examples per class are not balanced or when the data is not independent enough.

当各类的训练示例的大小不平衡，或者数据的独立性不符合要求时，Naive Bayes分类器会出现故障。

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。

By combining BAYES theory with fuzzy comprehension evaluation method, this paper suggests a new method to determine the distribution of rock parameters.

用模糊综合评判方法与BAYES理论相结合，给出由小样本试验数据确定岩土参数的概率分布。