Bayes

美 　英

• 網(wǎng)絡(luò)貝葉斯；貝氏；貝葉斯公式

例句

Bayes was one of two main influences on the early development of probability theory and statistics.

貝伊斯曾是對概率論與統(tǒng)計的早期發(fā)展有重大影響的兩位人物之一。

Surely, if I believe an animal to be a cat and observe her barking, my belief should be updated--Bayes' theorem tells us how.

當(dāng)然如果我相信一個動物是貓，而當(dāng)看見她發(fā)出狗叫聲，我的信念更新是應(yīng)該的，而貝葉斯的定理則告訴了我們（更新的）方法。

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

基于樸素貝葉斯分類方法的實驗表明，提出的方法能夠有效提高中文文本的分類準(zhǔn)確率。

The posterior probability can also be expressed in terms of class-conditional density function and prior probability by the Bayes theorem.

藉由貝氏定理，事后機率亦可等效表示成類別的條件機率密度函數(shù)與事前機率的乘積。

Bayes filtering has a dominant place in the area of spam filtering for its strong categorization and high precision.

貝葉斯郵件過濾器具有較強的分類能力，極高的準(zhǔn)確率，在內(nèi)容過濾領(lǐng)城占據(jù)主導(dǎo)地位。

A junkmail filter is designed and implemented on the basis of naive Bayes filter by tabulating junkmail features in a form of binary system.

以樸素的貝葉斯過濾器為基礎(chǔ)，采用二進制表示方法建立垃圾郵件特征表，設(shè)計并實現(xiàn)一種垃圾郵件過濾器。

This paper discusses the traditional algorithm of na? ve bayes in intrusion detection and points out the shortcomings of it.

討論了傳統(tǒng)的樸素貝葉斯算法在入侵檢測中的應(yīng)用，指出了其存在的問題；

Joint Probability, Conditional Probability, Prior & Posterior Probabilities, Bayes Theorem.

聯(lián)合機率，條件機率，前后機率，貝氏定理。

But, whereas Pascal's ideas are simple and widely understood, Bayes's have always been harder to grasp.

不過帕斯卡的理論相對簡單，也得到了普遍理解，而貝葉斯的理論人們一直很難領(lǐng)會。

Although the Naive Bayes spam filter is simple and convenient, the recall and precision are hard to be improved.

雖然樸素貝葉斯郵件過濾器計算簡便，但召回率和正確率都難以進一步提高。

Results The precision of the Bayes and neural network algorithms is better than the decision tree algorithm.

結(jié)果貝葉斯分類算法和神經(jīng)網(wǎng)絡(luò)算法的分類準(zhǔn)確率高過決策樹算法。

The likelihood is fused with prior human poses in a Bayesian framework to specify the coordinates of the pose in the manifold space.

通過融合似然概率和人體姿態(tài)的先驗概率，利用Bayes推理框架就可以求出輸入的人體姿態(tài)在流形空間的坐標(biāo)。

I said my good-bayes, planned for their transient attention and return home.

我道了別，安排好他倆的暫時看護后就回家去了。

According to Bayesian theory and Bayes Factor, the posterior probability of the calculation sample belonging to a model is calculated.

根據(jù)貝葉斯理論和貝葉斯因子法，計算樣本隸屬于某種線型的后驗概率；

The paper discuss empirical Bayes estimation and linear empirical Bayes estimation of the parameters of one nominal scale population.

本文研究了一個名義尺度總體分布參數(shù)的經(jīng)驗貝葉斯估計與線性經(jīng)驗貝葉斯估計問題。

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

文中采用貝葉斯正則化與BP網(wǎng)絡(luò)結(jié)合的方法，建立動態(tài)前饋校正模型。

Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.

實驗表明提出的選擇性貝葉斯分類器適于變壓器故障診斷。

The computation of Bayes approach is simple but it is far from effective on the value of Recall and Precision.

貝葉斯方法計算簡便，但召回率和正確率都難以提高到一個更高的層次；

This paper addressed Bayes network's basic theory, methods and applications, finally pointed out its major problems at present.

本文論述了貝葉斯網(wǎng)絡(luò)的基本理論、方法和應(yīng)用，并指出當(dāng)前所存在的主要問題。

But my favoritetomb is that of Thomas Bayes, the eighteenth-century statistician for whomBayesian filtering is named.

但我最喜歡的陵墓是18世紀(jì)統(tǒng)計學(xué)托馬斯·貝葉斯的，貝葉斯濾波就是以他命名的。

The principle and algorithm of K- nearest neighbor, Naive Bayes, Support Vector Machine Nerve Network etc. are elaborated.

分析了K-最近鄰居、樸素貝葉斯、支持向量機、神經(jīng)網(wǎng)絡(luò)等經(jīng)典分類方法的原理及算法。

The numerical experiments show that integrated E-Bayes estimation is fit for the reliability research of hull.

數(shù)值實驗結(jié)果表明，綜合E-Bayes估計適合船體可靠性的研究。

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

真詞錯誤檢查主要是利用貝葉斯定理，并通過建立一些特定的混淆集的方法來實現(xiàn)。

To assess the area concentrations of volatile organic vapor in workshops with Bayesian statistics and check them with field measurements.

用BAYES統(tǒng)計學(xué)方法估算車間空氣中揮發(fā)性氣體的區(qū)域濃度并檢驗其正確性。

In most cases, Bayes solution based on the mean of the posterior distribution will be better than the traditional one.

在大多數(shù)情況下，基于后驗分布的貝葉斯解會優(yōu)于傳統(tǒng)解。

Bayes method and clustering analysis are the common lies used method in the data mining.

貝葉斯方法和聚類分析技術(shù)是數(shù)據(jù)挖掘中常用的分類方法。

By using Bayes' theorem to modify fuzzy relation formula, the quantitative relation equation was got and the decision-making step was given.

利用貝葉斯理論修改模糊關(guān)系算式以獲得定量運算關(guān)系，并且給出了決策步驟。

This paper takes Naive Bayes Classifier as an illustration to describe how to construct a prediction module in detail.

文章以樸素貝葉斯算法為例，詳細描述了性能預(yù)測模塊的構(gòu)建過程。

TAN classifier extends the structure of Naive Bayes classifier by adding augmenting arcs that obey certain structural restrictions.

TAN分類器按照一定的結(jié)構(gòu)限制，通過添加擴展弧的方式擴展樸素貝葉斯分類器的結(jié)構(gòu)。

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

第一種方法是使用簡單的支持Map-Reduce的NaiveBayes分類器。

To improve efficiency, used naive Bayes classify method to reduce the searching space.

基于效率考慮，利用樸素貝葉斯分類算法減小搜索空間。

Bayes Minimum Mean Square Error (Bayes MMSE)method is used to estimate the wavelet coefficients free of noise.

利用貝葉斯最小均方誤差準(zhǔn)則來估計“干凈”的小波系數(shù)。

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，我只會演示NaiveBayes方法，因為這能讓您看到總體問題和Mahout中的輸入。

Uses the modified self-training Bayes algorithm to recognize spam.

使用已修改的自學(xué)習(xí)模式算法識別垃圾郵件。

In the first experiment, we compare CNB with variants of Naive Bayes classifiers, and conclude that CNB achieves a better performance.

在第一個實驗中，我們比較了CNB及天真貝氏分類器的其它變形，并得到CNB可獲得較佳績效的結(jié)論。

Bayes method has the higher rate of accuracy while in the text classifying.

貝葉斯方法在文本分類中具有較高的準(zhǔn)確率。

Absrtact: An augmented naive Bayes classifier of Bayes classifier family is studied in this paper.

摘要：文中研究貝葉斯分類器家族中的一種擴展樸素貝葉斯分類器。

Firstly, some typical data mining algorithms to predict are introduced, such as Bayes algorithm, neural networks, clustering algorithm.

首先，概述了面向預(yù)測的典型數(shù)據(jù)挖掘算法，包括：貝葉斯算法、神經(jīng)網(wǎng)絡(luò)、聚類算法等。

In this papers, we update the usual Bayes factor to resolve this problem.

本文修正了常規(guī)的貝葉斯因子，解決了這一問題。

Based on historical records, Bayes Premium is the optimal choice under quadratic loss function.

基于歷史觀測數(shù)據(jù)，貝葉斯保費是在二次損失函數(shù)下的“最優(yōu)”保費。