?Bayesian

Bayesian發(fā)音

英：　　美：

Bayesian中文意思翻譯

adj. 貝葉斯定理的

Bayesian常見(jiàn)例句

1 、The first kind of the theories is based on the imperfection information, including Epidemic models and Bayesian learning models.───以信息不完全為出發(fā)點(diǎn)的理論研究主要包括傳染病模型和貝葉斯學(xué)習(xí)模型等；

2 、The MST in association with the natural history of lung cancer depicted by a three-state Markov model was estimated with a Bayesian approach.───對(duì)相應(yīng)于電腦斷層的平均滯留時(shí)間，我們用貝氏三階段馬可夫模式分析文獻(xiàn)報(bào)告來(lái)估計(jì)。

3 、In this paper, a facial feature point tracking scheme is proposed by integrating Lucas-Kanade optical flow tracking algorithm and the face alignment statistical model, DAM (direct appearance model), together in a Bayesian framework.───將Lucas-Kanade光流跟蹤算法與人臉特征點(diǎn)**的統(tǒng)計(jì)模型dam(direct appearance model)在Bayesian框架下結(jié)合起來(lái),提出了視頻中人臉特征點(diǎn)**與跟蹤的一種混合模型方法.

4 、Markov network is an undirected graph, while Bayesian network is a directed acyclic graph.───Markov網(wǎng)是一個(gè)無(wú)向圖 ,而 Bayesian網(wǎng)是一個(gè)有向無(wú)環(huán)圖 .

5 、Introduction to decision theory and Bayesian inference.Ji, Marron, Simons.───決策論和貝葉斯推斷.

6 、In order to eliminate the effects of these false targets, we propose a accumulated confidence mechanism based on Bayesian Inference, and formalate some relevant rules.───為了消除這種虛假的目標(biāo)，我們提出了一種基于貝葉斯推理的置信度累計(jì)機(jī)制，并制定相關(guān)規(guī)則。

7 、In this paper,linking Kalman filter theory,we bring out a new moving target state prediction model based on dynamic Bayesian network and used to shot moving targets.───提出基于動(dòng)態(tài)貝葉斯網(wǎng)絡(luò)推理的火炮攻擊敵縱深運(yùn)動(dòng)目標(biāo)狀態(tài)估計(jì)模型。

8 、A fast convergence Bayesian estimator of the class A model parameters is derived and calculated using the Markov Chain Monte Carlo (MCMC) procedure.───摘要基于馬氏鏈蒙特卡羅法(MCMC)，提出一種快速收斂特性的A類(lèi)噪聲模型參數(shù)貝葉斯估計(jì)算法。

9 、The principle of Recursive Bayesian estimation was introduced which was the basis of Particle filter, and the significance of importance function to the design of particle filter was illustrated.───介紹了作為粒子濾波理論基礎(chǔ)的遞推貝葉斯估計(jì)的基本概念,說(shuō)明了重要性函數(shù)對(duì)于粒子濾波器的設(shè)計(jì)是至關(guān)重要的。

10 、Gamma distribution Gamma(a,b)(in which:a>0,b>0) is always used as a prior distribution of Bayesian exponential distribution reliability growth model. Different value of a and b will make considerable difference in evaluating results.───Gamma分布Gamma(a ,b) (其中a >0 ,b>0 ) ,通常用來(lái)作指數(shù)分布Bayes可靠性增長(zhǎng)模型的先驗(yàn)分布 ,參數(shù)a和b的不同 ,將使可靠性增長(zhǎng)試驗(yàn)的評(píng)估結(jié)果有很大的差異。

11 、Experiment results show that good retrieval effectiveness can be achieved by adjusting the parameter of the Bayesian networks used in our model.───實(shí)驗(yàn)結(jié)果表明通過(guò)進(jìn)一步調(diào)節(jié)擴(kuò)展模型中的參數(shù)，可以獲得良好的檢索效果。

12 、In order to overcome these obstacles,qualitative bayesian networks and associated algorithms have been developed before.───為了在一定程度上克服這種障礙,定性貝葉斯網(wǎng)絡(luò)及其相關(guān)算法被提出并得到發(fā)展。

13 、Discussion of Bayesian method and Dempster-Shafer evidence theory[J].───引用該論文 涂嘉文,徐守時(shí).

14 、Then, giving the sample words from library, a categorization database is created and used for automatic categorization of Chinese journals by Bayesian learning.───其次，通過(guò)對(duì)圖書(shū)館的樣本數(shù)據(jù)進(jìn)行訓(xùn)練建立的分類(lèi)庫(kù)，本文使用貝葉斯分類(lèi)器實(shí)現(xiàn)中文期刊的自動(dòng)分類(lèi)。

15 、A method to estimate the expectation of exponential random variable which only has imperfection samples is presented based on Bayesian statistics decision theory.───基于統(tǒng)計(jì)決策理論 ,給出一種借助先驗(yàn)分布求解一類(lèi)只有不完全樣本的指數(shù)型變量均值的Bayes遞進(jìn)修正估計(jì)方法 ,并證明了該方法是最佳的。

16 、The Bayesian Optimization Algorithm (BOA) was introduced to tackle the coordination attack problem.───將貝葉斯優(yōu)化算法(BOA)引入到協(xié)同攻擊優(yōu)化領(lǐng)域中。

17 、A kind of Bayesian dynamic model with nonlinear state equation is solved by Tierney and Kadane" s approximate computation.───對(duì)一類(lèi)非線性動(dòng)態(tài)模型，利用帝爾尼和卡登近似對(duì)模型進(jìn)行了模擬計(jì)算。

18 、A modified approach to combine the Bayesian estimation and the hard gating is proposed.───提出了一種綜合貝葉斯估計(jì)和門(mén)限的改進(jìn)方法。

19 、On the basis of feeder partitioning and combining with failure-mode-and-effect analysis (FEMA) a Bayesian network was constituted.───在進(jìn)行饋線分區(qū)的基礎(chǔ)上,結(jié)合區(qū)域故障模式影響分析(Failure-Mode-and-Effect Analysis,FMEA)構(gòu)成貝葉斯網(wǎng)絡(luò)。

20 、After analyzing the application of Bayesian Optimization Algorithm (BOA), a new randomized, population-based evolutionary algorithm is proposed which deals with the Eigenvector Subset Selection (ESS) problem on face recognition application.───分析了貝葉斯優(yōu)化算法(BOA)在特征選擇方面的應(yīng)用問(wèn)題。

21 、The result of the auctioning game is Bayesian Nash equilibrium between the army and contractors.───投標(biāo)人的行為是追求最大的效用，軍方則需要建立一種機(jī)制誘使投標(biāo)人按真實(shí)成本信息報(bào)價(jià)，以達(dá)到預(yù)期支付最小的目的。

22 、Presented an efficient hybrid heuristic SGS-EM-PACOB algorithm for learning Bayesian network with mi-ssing values.───建立了具有數(shù)據(jù)缺失訓(xùn)練集下學(xué)習(xí)貝葉斯網(wǎng)的一種混合啟發(fā)方法:SGS-EM-PACOB算法。

23 、In a broad sense, Bayesian epistemology makes a general reference about all of the subjectivism theories about probable induction.───廣義而言，貝葉斯認(rèn)識(shí)論則泛指關(guān)于概率歸納的所有主觀主義理論。

24 、By the likelihood theory,we obtain lower bound of moderate deviation result for the Bayesian estimator. It improves the result of Bahadur type.───利用似然理論方法得到了Bayes估計(jì)的中偏差下界,從而改善了Bahadur型的收斂結(jié)果。

25 、When the number of groups is assumed known, firstly, under particularly prior of parameter, we prove that the bayesian estimation of the normal mixture model parameters is admissibility.───在混合元個(gè)數(shù)已知的情況下，首先證明了正態(tài)混合模型參數(shù)在特定先驗(yàn)分布下，其貝葉斯估計(jì)的容許性；

26 、The effect of prior knowledge on convergence of engine model and the Bayesian updating of a quadratic linear model are also analyzed.───分析了發(fā)動(dòng)機(jī)先驗(yàn)知識(shí)對(duì)模型收斂的影響及二階線性模型的貝葉斯更新。

27 、According to MOR,they were tested using 10-fold cross validation with two real world data sets,and compared with Bayesian network classifier based on MPE.───在兩個(gè)真實(shí)數(shù)據(jù)集上以MOR用10層交叉驗(yàn)證對(duì)貝葉斯網(wǎng)絡(luò)信用評(píng)估模型進(jìn)行了測(cè)試,并與最小錯(cuò)誤概率準(zhǔn)則MPE的貝葉斯網(wǎng)絡(luò)分類(lèi)器的結(jié)果進(jìn)行了對(duì)比。

28 、The paper illustrates the principles of the Bayesian network theories and its implementation in the network fault management.───主要介紹了貝葉斯網(wǎng)絡(luò)的基本原理,貝葉斯方法在網(wǎng)絡(luò)故障管理中的應(yīng)用方法。

29 、In order to make Bayesian Optimal Algorithm（BOA） be able to optimize dynamically，an Environment Identification based Memory Strategy（EIMS） is proposed.───摘要 為了使貝葉斯優(yōu)化算法（BOA）具有動(dòng)態(tài)優(yōu)化能力，提出了基于環(huán)境辨識(shí)的記憶策略（EIMS）。

30 、WestM, Harrison P J. Bayesian Forecasting and Dynamic modes[M].Spring-Verlay, New York: 1989.───張孝令,劉福升,張承進(jìn)等.貝葉斯動(dòng)態(tài)模型及其預(yù)測(cè)[M].山東:科學(xué)技術(shù)出版社,1992

31 、The theory development and the applied space of Bayesian statistics were explored.───探討了貝葉斯統(tǒng)計(jì)未來(lái)理論發(fā)展及其應(yīng)用空間。

32 、Because of great difference in constructed model and changes in the dynamics of the domains, it is necessary to improve the performance and accuracy of a Bayesian network as new data is observed.───已建成的Bayesian網(wǎng)與領(lǐng)域環(huán)境間可能存在較大偏差,加之領(lǐng)域本身固有的動(dòng)態(tài)變化特性,因此在觀察到新數(shù)據(jù)時(shí),改善Bayesian網(wǎng)的性能和優(yōu)化網(wǎng)絡(luò)結(jié)構(gòu)是十分必要的.

33 、The Bayesian processor of forecasting (BPF) and hydrologic uncertainty processor (HUP) were introduced and applied in the Baiyunshan basin and Three Gorges Reservoir (TGR) intervening basin, respectively.───介紹了貝葉斯預(yù)報(bào)處理器(BPF)和水文不確定性處理器(HUP),分別對(duì)其進(jìn)行了實(shí)例研究。

34 、It is proved that the model based on the On-Line Analytical Processing(OLAP) analysis and the Bayesian network is an effective tool to analyze the customer fraudulency and can get high accuracy.───實(shí)驗(yàn)表明，基于OLAP分析和貝葉斯網(wǎng)絡(luò)的話費(fèi)欺詐預(yù)測(cè)效果良好，是一種有效的客戶欺詐分析工具。

35 、As an optional extra to the Quick Filing extension for Thunderbird developed in a previous bounty, we would like to see Bayesian learning for message filing.───在上一個(gè)獎(jiǎng)勵(lì)資金項(xiàng)目，Thunderbird可選擴(kuò)展快速歸檔被開(kāi)發(fā)后，我們希望它能利用貝葉斯理論進(jìn)行學(xué)習(xí)。

36 、A mouth outline feature extraction based on Bayesian Tangent Shape Model(BTSM) and a lip-reading system based on Dynamic Bayesian Network(DBN) is proposed for a talking head in this paper.───為實(shí)現(xiàn)文本/語(yǔ)音驅(qū)動(dòng)的說(shuō)話人頭部動(dòng)畫(huà),提出基于貝葉斯切線形狀模型的口形輪廓特征提取方法和基于動(dòng)態(tài)貝葉斯網(wǎng)絡(luò)(Dynamic Bayesian Network,DBN)模型的唇讀系統(tǒng)。

37 、I decided to look into how well a much more starkly limited model space would work for a Bayesian spam filter.───我決定研究一下,對(duì)于貝葉斯垃圾郵件過(guò)濾器,一個(gè)絕對(duì)有限的模型空間究竟工作得有多好。

38 、Therefore, it is an important way to solve this problem by the integration of Bayesian statistics inference with GIS.───因此，與擅長(zhǎng)于此的貝葉斯統(tǒng)計(jì)推理技術(shù)相結(jié)合則是解決這一問(wèn)題的重要途徑。

39 、To learn a classifier,a semisupervised Bayesian approach is adopted.An EM algorithm is derived to compute maximum likelihood estimate.Experimental results demonstrate appropriate accuracy.───分類(lèi)器的學(xué)習(xí)采用半監(jiān)督貝葉斯方法,使用EM算法求解最大似然估計(jì),實(shí)驗(yàn)結(jié)果表明能夠獲得較好的結(jié)果.

40 、The statistical Bayesian channel estimation was investigated in the CDMA TDD mode.───摘要分析了CDMA時(shí)分模式下的統(tǒng)計(jì)貝葉斯信道估計(jì)。

41 、The Weibull statistics modified by Bayesian statistics and 4th strength law was adapted to analyze the strength distribution of plastic materials, and then validated by yield strength of Q235 steel.───為將Weibull統(tǒng)計(jì)應(yīng)用于塑性材料的強(qiáng)度分布規(guī)律分析,利用貝葉斯統(tǒng)計(jì)方法和第四強(qiáng)度理論對(duì)Weibull統(tǒng)計(jì)理論進(jìn)行修正,并用Q235鋼的屈服強(qiáng)度進(jìn)行驗(yàn)證。

42 、A parameter selection and soft sensor modeling method based on Regression support vector is presented within Bayesian evidence framework.───提出了一種基于貝葉斯證據(jù)框架的回歸型支持向量機(jī)的參數(shù)選擇和軟測(cè)量建模方法。

43 、On the basis of switch and relay protecting information of substation, an approach to substation fault diagnosis is proposed based on rough sets theory and bayesian classifier.───以變電站的開(kāi)關(guān)繼電保護(hù)信息為基礎(chǔ),提出了一種基于粗糙集理論和貝葉斯分類(lèi)器的變電站故障診斷方法。

44 、Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.───基于粗糙集、模糊集和貝葉斯最優(yōu)分類(lèi)器,提出一種變壓器絕緣故障診斷與維護(hù)的綜合決策模型。

45 、Several Bayesian Classifiers are realized simply on MBNC experimental platform: NBC, TANC based on MI criterion, BNC based on K2 algorithm and G2 algorithm.───先在MBNC實(shí)驗(yàn)平臺(tái)上簡(jiǎn)單實(shí)現(xiàn)了幾種貝葉斯分類(lèi)器。 有NBC，基于互信息測(cè)度的TANC以及基于K2算法和GS算法的BNC。

46 、Constructing classifier plays a key role in classification technique and effective classifier can be constructed using Bayesian Networks. BNC has been constructed using Matlab based BNT software package.───基于BN Toolkit(BNT)軟件包利用Matlab語(yǔ)言實(shí)現(xiàn)了兩種貝葉斯網(wǎng)絡(luò)分類(lèi)器(BNC)。

47 、Among all the methods,bayesian reconstruction,or maximum a posteriori(MAP) method,has proved its superiority over others in the regard of quality of reconstructed image.───在所有方法中,貝葉斯重建或者最大化后驗(yàn)估計(jì)的方法被證明具有在重建圖像質(zhì)量方面相對(duì)于其他方法的優(yōu)越性。

48 、The updating methods included Bayesian updating, transfer scaling, combined transfer estimation, and joint context estimation.───所探討的更新方法有貝氏更新法、轉(zhuǎn)移尺度法、結(jié)合轉(zhuǎn)移估計(jì)法、及聯(lián)合內(nèi)容估計(jì)法等四種。

49 、CBIR (Content-based Image Retrieval),Relevance Feedback,Model of Image Retrieval,Vision Feature,Bayesian Classifier,Sematic NetWork,Query Interface,Retrieval Engine.───01基于內(nèi)容圖像檢索,相關(guān)反饋,圖像檢索模型,視覺(jué)特征,貝葉斯分類(lèi)器,語(yǔ)義網(wǎng)絡(luò),查詢接口,檢索引擎

50 、Therefore this paper aims to propose a methodology to account for the effect of pullout tests on the bond stress.This procedure is formalized in the Bayesian framework.───為此，在土釘抗拔試驗(yàn)結(jié)果的基礎(chǔ)上，提出了采用貝葉斯理論來(lái)估計(jì)粘結(jié)強(qiáng)度的新方法。

51 、Compared with Bayesian classification model,experimental results show SANBC has higher accuracy.───實(shí)驗(yàn)結(jié)果表明,與樸素貝葉斯分類(lèi)模型相比,SANBC分類(lèi)模型具有較高的分類(lèi)正確率。

52 、In order to help a new client in the social network finding the best matching circle of social communication for itself, the Dynamic Bayesian Network (DBN) theory was introduced.───摘要為了幫助社交網(wǎng)中新成員尋找與之最為合適的社交圈，嘗試采用動(dòng)態(tài)貝葉斯網(wǎng)(DBN)理論解決社交網(wǎng)分析應(yīng)用中成員（節(jié)點(diǎn)）與社交圈（集合）的匹配問(wèn)題。

53 、DNSBL, Bayesian filter, and blacklist and whitelist provide junk mailprotection.───傳真服務(wù)嵌入用戶郵箱為了使電子郵件和傳真消息訪問(wèn)方式成一體。

54 、Based on Bayesian statistics and the robust estimation principle.───基于貝葉斯統(tǒng)計(jì)和抗差估計(jì)原理，我們構(gòu)造了一種抗差濾波算法。

55 、The type and parameters of the prior data distribution should be known in Bayesian method.───在貝葉斯處理中，必須確定先驗(yàn)分布的類(lèi)型和分布參數(shù)。

56 、Bayesian inference is a very convenient mathematical tool to update our current knowledge when new algorithms become available.───當(dāng)一種新的算法變得可用時(shí)，貝葉斯理論是更新目前知識(shí)的數(shù)學(xué)工具。

57 、For multiple-marker analysis, Xu (Genetics, 2003, 163:789-801) developed a Bayesian shrinkage estimation (BSE) method.───對(duì)于前者,Xu(Genetics,2003,163:789-801)首先提出了Bayesian壓縮估計(jì)方法。

58 、By combining the operators? experience and the sample data, this paper presented how to build the model of customer fraudulent with Bayesian network based on the data mining.───將電信業(yè)務(wù)人員的經(jīng)驗(yàn)知識(shí)和樣本數(shù)據(jù)相結(jié)合，在數(shù)據(jù)挖掘技術(shù)的基礎(chǔ)上，提出了一種基于貝葉斯網(wǎng)絡(luò)的電信話費(fèi)欺詐建模方法。

59 、Possibilistic network is the combination of probability theory and possibilistic theory with graphical model which can remedy defect of Bayesian network.───可能網(wǎng)絡(luò)是可能理論、概率理論與圖形模式的結(jié)合，可彌補(bǔ)貝葉斯網(wǎng)絡(luò)這方面的不足。

60 、Based on HMM speech segmentation, this paper presents a Bayesian approach to robust speech segmentation.───在貝葉斯切分方法的框架內(nèi),作者首先對(duì)語(yǔ)音序列進(jìn)行了變換,將由切分點(diǎn)構(gòu)成的序列變?yōu)橛梢艄?jié)長(zhǎng)度構(gòu)成的序列。

61 、The Bayesian approach is suitable for data mining and knowledge discovery problems characterized by probability and statistics.───因此 ,適用于具有概率統(tǒng)計(jì)特征的數(shù)據(jù)采掘和知識(shí)發(fā)現(xiàn)問(wèn)題 ,尤其是樣本難得或代價(jià)昂貴的問(wèn)題。

62 、In order to segment the blurred image with large noise, the authors propose a new Bayesian image segmentation method based on generalized fuzzy Gibbs random field.───基于吉波斯隨機(jī)場(chǎng)分割模型的圖象分割方法是一種常用的重要方法。

63 、After the theory and inference mechanism of Bayesian networks was introduced,this paper mainly studies the application of Bayesian networks in emitter s threat level assessment.───以貝葉斯網(wǎng)絡(luò)及其推理機(jī)制為基礎(chǔ),主要研究了貝葉斯網(wǎng)絡(luò)在輻射源威脅等級(jí)評(píng)估方面的應(yīng)用。

64 、Zhang, N. and Poole, D. (1996). Exploiting causal independence in Bayesian network inference. Journal of Artificial Intelligence Research 5: 301?328.───在貝葉斯網(wǎng)絡(luò)推論中探尋因果獨(dú)立性〉《人工智能學(xué)報(bào)》5:301?328.

65 、To the weight update of Latent Semantic Analysis（LSA） model，this paper proposes an adaptive weight update algorithm based on Bayesian theory（ALSAB）.───摘要 針對(duì)潛在語(yǔ)義分析（LSA）模型的權(quán)重更新問(wèn)題，提出了一種基于貝葉斯理論的自適應(yīng)權(quán)重更新算法ALSAB。

66 、Utilizing the likelihood ratio method, both Bayesian and empirical Bayes monitoring techniques are proposed as the main purpose of the paper.───利用概似比的方法，提出貝氏和經(jīng)驗(yàn)貝氏制程監(jiān)控技術(shù)來(lái)作為本篇論文的主要目的。

67 、In the paper,to decrease the computational time,an optimization algorithm is proposed by combining chaotic sequences with Bayesian optimization algorithm (BOA).───為了減少貝葉斯優(yōu)化算法的計(jì)算量,該文提出了一種混沌貝葉斯優(yōu)化算法。

68 、At same time, different estimating methods such as maximum likelihood method (MLM), extended maximum entropy principle(EMEP) and Bayesian directional method(BDM) are studied and compared respectively.───另外,還對(duì)最大似然法(MLM)、擴(kuò)展最大熵方法(EMEP)、貝葉斯(BDM)方法等進(jìn)行了比較。

69 、We hae reanalysed the data using a full Bayesian network approach2,5 with appropriate modelling of random effects for multigroup trials (figure).───我們用貝葉斯定理網(wǎng)絡(luò)方法對(duì)數(shù)據(jù)重新進(jìn)行了分析，這是對(duì)多組試驗(yàn)的隨機(jī)效應(yīng)更適合的模型。

70 、The experimental results show that the Bayesian classifier can be successful in categorization for Chinese journals efficiently and correctly.───實(shí)驗(yàn)結(jié)果表明，該分類(lèi)器對(duì)中文期刊的分類(lèi)具有很好的高效性和準(zhǔn)確性。

71 、The Design and Implementation of Intelligent Program Selection Based on Bayesian Networks P.───基于貝葉斯網(wǎng)絡(luò)模型的智能節(jié)目選擇的設(shè)計(jì)與實(shí)現(xiàn)。

72 、Decision tree, neural networks and Bayesian networks are the main tools of KDD.───決策樹(shù)、神經(jīng)網(wǎng)絡(luò)、Bayesian網(wǎng)絡(luò)等是當(dāng)前知識(shí)發(fā)現(xiàn)的重要工具。

73 、The effect of informational external representation on Bayesian reasoning was studied from the perspective of distributed cognition.───基于分布式認(rèn)知觀點(diǎn),考察信息的外部表征方式對(duì)人們解決貝葉斯推理問(wèn)題的影響。

74 、Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.───基于貝葉斯證據(jù)框架下的最小二乘小波支持向量機(jī),設(shè)計(jì)了一種新型模擬電路故障診斷方法。

75 、BAN,i. e. BN augmented Na?ve-Bayes,is an augmented Bayesian network classifier,whose accuracy is easy to improve by the Boosting technique.───BAN(BN augmented Na?ve-Bayes)是一種增強(qiáng)的貝葉斯網(wǎng)絡(luò)分類(lèi)器,通過(guò)提升很容易提高其分類(lèi)性能.

76 、It is based on a Bayesian formulation for the thin plate smoothing spline model and has been found to be superior to GCV in some cases (Kohn et al. 1991).───它依據(jù)于光滑薄盤(pán)樣條函數(shù)模型的貝葉斯公式，并已被證明在某些情況下優(yōu)于GCV法（Kohn等，1991）。

77 、RVM exploits Bayesian learning framework, which has dramatically fewer kernel functions than comparative support vector machine.So that accurate prediction models can be acquired.───RVM使用貝葉斯方法推理，**能力好，與支持向量機(jī)相比解更為稀疏，這些保證了RVM算法具有良好的預(yù)測(cè)能力。

78 、Students will understand how to mine the statistics to represent the relationships between findings and diseases and apply the Bayesian theorem to mimic the clinician's decision process.───醫(yī)療服務(wù)其實(shí)就是一種要求高品質(zhì)的知識(shí)產(chǎn)品，因此競(jìng)爭(zhēng)壓力越趨嚴(yán)酷，如何協(xié)助醫(yī)護(hù)人員提供最好的服務(wù)，則有賴資訊系統(tǒng)功能的提升與發(fā)揮。

79 、Introduces an improved Bayesian classifier,which uses the skipping window technology to reform the reaction time and facilitate the control of the intrusion detection system.───介紹了一個(gè)改進(jìn)的貝葉斯分類(lèi)器,其中利用了滑動(dòng)窗口技術(shù)改善入侵檢測(cè)的實(shí)時(shí)性能和可控制性能。

80 、A risk evaluation model in software project investment based on Bayesian Networks（BNs） is presented in this paper.───摘要 提出了一種基于貝葉斯網(wǎng)絡(luò)的軟件項(xiàng)目投資風(fēng)險(xiǎn)評(píng)價(jià)模型。

bayesian什么品牌？

大韓民國(guó)食品超市折扣店。因?yàn)楦鶕?jù)查詢大韓民國(guó)，韓國(guó)釜山，蔚山食品折扣超市得知，bayesian是大韓民國(guó)韓國(guó)釜山.蔚山食品超市折扣店

簡(jiǎn)述貝葉斯算法的特點(diǎn)？

貝葉斯是基于概率的一種算法，是Thomas Bayes：一位偉大的數(shù)學(xué)大師所創(chuàng)建的，目前此種算法用于過(guò)濾垃圾郵件得到了廣泛地好評(píng)。

貝葉斯過(guò)濾器是基于“自我學(xué)習(xí)”的智能技術(shù)，能夠使自己適應(yīng)垃圾郵件制造者的新把戲，同時(shí)為合法電子郵件提供保護(hù)。在智能郵件過(guò)濾技術(shù)中，貝葉斯（Bayesian）過(guò)濾技術(shù)取得了較大的成功，被越來(lái)越多地應(yīng)用在反垃圾郵件的產(chǎn)品中。