貝葉斯定理的 的英文怎麼說
中文拼音 [bèiyèsīdìnglǐde]
貝葉斯定理的
英文
bayes bayesian- 貝 : 名詞1 [動物學] (蛤螺等有殼軟體動物的統稱) cowry; cowrie; shellfis 2 (古代用貝殼做的貨幣) cowr...
- 斯 : Ⅰ名詞(古代驅疫時用的面具) an ancient maskⅡ形容詞[書面語] (醜陋) ugly
- 定 : Ⅰ形容詞1 (平靜; 穩定) calm; stable 2 (已經確定的; 不改變的) fixed; settled; established Ⅱ動詞...
- 理 : Ⅰ名詞1 (物質組織的條紋) texture; grain (in wood skin etc ) 2 (道理;事理) reason; logic; tru...
- 的 : 4次方是 The fourth power of 2 is direction
- 貝葉 : (印度貝多羅 pattra 樹的葉子, 古代印度人用以寫佛經) pattra leaves
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Compared with the regular rule - based expert system, the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved
與一般基於規則的專家系統相比,貝葉斯網專家系統利用先驗概率分佈,可以使推理在輸入數據不完備的基礎上進行;以網路的拓撲結構表達定性知識,以網路節點的概率分佈表達知識的不確定性,從而使不確定性知識的表達直觀、明確;利用貝葉斯法則的基本原理,可以實現由因到果及由果到因的雙向推理。At last, this thesis figures out an event - based method of air threat assessment through the definitions of the events, the modeling accompanied with xml description of the model, the introduction of the functional architecture model of event correlation, the type of event correlation and the expressions of the theory of this technique, the event deleting and contracting on the data facet, the correlation between the events in causality by bayesian network and the probability reasoning, exemplifying and calculating of bayesian network employed in the construction of threat assessment model of air battle
最後提出了一種基於事件的空戰威脅估計方法。對事件進行了定義、建模並用xml語言進行了數據描述;介紹了事件關聯功能結構模型;介紹了事件關聯類型及知識表達方式,從數據層進行了事件清理和壓縮,使用貝葉斯網路對因果事件進行關聯,建立了空戰威脅估計貝葉斯網模型、進行了貝葉斯概率推理及算例分析。Then, with the concept of accumulated failure probability, the proposed approach combines the least ? quares method with bayes " theorem, takes advantage of the parameter estimation for single weibull distribution to each derived subgroup data set, and estimates the parameters of each subpopulation. the estimates given by this paper also satisfy the maximum likelihood equation. the mean time to failure and the reliability estimation of the mixed population are given
然後通過利用累積失效概率等概念,對每個導出的子組數據集聯合運用最小二乘法、貝葉斯定理和對單一威布爾分佈的參數估計法,從而得到每個子總體的滿足極大似然原理的參數估計,給出了該混合總體平均壽命和可靠度的估計。Afterwards, a relatively brief introduction to spam judge subsystem is given, including mail head analyse, bayes filtering and filtering based on rules
然後相對簡略介紹了垃圾郵件判定子系統的設計實現原理:包括郵件頭分析、貝葉斯過濾和基於規則的過濾。To limit the predicting precision loss in a certain range, author presented a method of bayes modeling and predicting for dynamic errors based on standard value interpolation at intervals during the multi - step prediction after consulting a lot of papers at home and abroad
為將預報精度損失控制在一定的范圍之內,作者在查閱了國內外大量相關文獻之後,提出了基於標準量插入的動態測量誤差的貝葉斯建模預報理論,並根據貝葉斯理論給出了預報值的不確定度。The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data, integrates qualitative knowledge and quantitative data. to study the software project iterative process risk ’ s bayesian network model, the definition of cyclic bayesian network is presented, probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward
論文在軟體項目迭代過程風險的貝葉斯網路模型研究中,定義了有環貝葉斯網路,證明了有環貝葉斯網路中有向環的概率收斂性質,給出了有環貝葉斯網路的概率推理方法。Comparing with non - bnyain methods, it ' s prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare
與非貝葉揚方法相比,貝葉斯方法的特出特點是其學習機制可以綜合先驗信息和后驗信息,既可避免只使用先驗信息可能帶來的主觀偏見,和缺乏樣本信息時的大量盲目搜索與計算,也可避免只使用樣本信息帶來的噪音的影響只要合理地確定先驗,就可以進行有效的學習。因此,適用於具有概率統計特徵的數據採掘和機器學習(或發現)問題,尤其是樣本難得的問題Combined with the prior distribution of the model parameters and water quality observation data, joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem
結合模型參數的先驗分佈和水質監測數據,通過貝葉斯定理計算獲得了表徵參數分佈規律的聯合后驗概率密度函數。In the second chapter, we explicate the theoretical knowledge, bayes statistic approach, which be applied in the paper, we show the definition of the prior distribution and how to select the prior information, we show the relation of prior distribution, conditional distribution and posterior distribution, we also show statistical inference approach and the key of how to use bayes statistic approach
第二部分內容是本文應用理論知識的簡要闡述,介紹了貝葉斯統計方法的理論,分別說明了先驗信息的定義及如何獲取,后驗分佈、條件分佈和先驗分佈三者關系,統計推斷方法及貝葉斯統計方法應用的關鍵。第三部分內容是對坦克射擊學中外彈道學的修正理論作了簡要的介紹。Based on the concise analysis of the durability and its influencing factors of the reinforced concrete, bayesian network and corresponding uncertainty reasoning principle has been introduced to develop an expert system for damage diagnosis of the durability of the reinforced concrete
摘要在簡要分析鋼筋混凝土的耐久性問題及影響因素的基礎上,通過引入基於貝葉斯網的知識表達和相應的不確定性推理原理,構造了鋼筋混凝土耐久性損傷診斷專家系統。On uncertain inference based on the bayesian network
基於貝葉斯網路不確定推理的研究In the paper, the models of uncertain reasoning are focused, such as the reasoning model of bayes probability, reliability theory, d - s evidence theory and neural network
本文主要涉及的不確定推理模型包括主觀貝葉斯的概率推理模型,可信度理論推理模型,證據理論及其改進推理模型以及神經網路推理模型。In factual world, the uncertainty is very rich. in expert system, usually probability is defined as subjective credit degree of experts to evidence and regulation, and bayes theorem is key solution in probability reasoning
在專家系統中,概率一般解釋為專家對證據和規則的主觀信任度,在概率推理中起著支撐作用的是貝葉斯定理。Bayes network is a new inference and express method of uncertain knowledge
摘要貝葉斯網路是不確定性知識表達與推理的一種新方法。That will make the classification accuracy fall down. we extract exception rule in the majority leaf nodes by referring to statistics view
這里我們用統計學分類的思想,利用貝葉斯定理對于大多數類葉子節點提取異常規則。Unlike other classifications, bayesian classification bases on mathematics and statistics, and its foundation is bayesian theory, which answers the posterior probability. theoretically speaking, it would be the best solution when its limitation is satisfied
與其它分類方法不同,貝葉斯分類建立在堅實的數理統計知識基礎之上,基於求解后驗概率的貝葉斯定理,理論上講它在滿足其限定條件下是最優的。Reliability assessments are structured using the cascaded inference framework from behavioral decision theory, and combined using rule in order to determine the inferential value of external audit work
根據行為決策理論運用串聯推斷模型將可靠性評價結構化,同時藉助貝葉斯法則將可靠性特徵聯合起來,以決定外部審計報告的推斷值。The particular range of values chosen for a parameter is an example of a bayesian prior assumption, since it is derived from actual experience of how the climate behaves ? and may thus be modified in the light of experience
為參數選擇某一特定范圍的數值正是貝葉斯預先假定理論的運用實例,因為這些數值來源於氣候變化的實際經歷,從而也可以根據實際情況進行修改。Robust non - frontal face alignment with edge based texture
基於邊緣紋理驅動模型的貝葉斯人臉定位The value of the statistical distributing of the spam keys can be also adjusted during the running of the system so that enhance the self - adaptation of the system. at last, the author tests the whole system and demonstrates this system is reasonable and correct by the testing data
最後,作者對郵件防火墻系統進行了實驗測試,證明該系統方案設計是合理、可行的,基於貝葉斯概率統計分佈的郵件過濾演算法能有效提高垃圾郵件過濾的效率,具備一定的智能性和自適應性。分享友人