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bayesian approach in Chinese

Pronunciation:
How to pronounce "bayesian approach""bayesian approach" in a sentence

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  • bayes氏方法
  • 貝斯分析法

Examples

  • A bayesian approach to multiple fuzzy hypothesis testing
    多重模糊假設(shè)檢驗(yàn)的貝葉斯方法
  • L . observables , a general class of distributions , are to be predicted using the bayesian approach
    在type雙刪失數(shù)據(jù)場合下，利用貝葉斯方法對一類分布的未來觀測值作出預(yù)測。
  • A bayesian approach to digital matting . in proc . ieee conference on computer vision and pattern recognition 2001 , kauai , hi , usa , dec . 2001 , pp . 264 - 271
    盡管光滑圖像的摳圖問題已經(jīng)得到了廣泛的研究，研究人員也提出了各種各樣有效的光滑圖像摳圖方法。
  • In this paper , we develop a single - product and single - period model ( a newsboy model ) with bayesian approach to study how the decision - maker in a seasonal goods production system to determine the production quantity and budget invested in demand forecasting
    本文經(jīng)由模型推導(dǎo)，探討使用貝氏估計(jì)法之單期季節(jié)性商品生?系統(tǒng)（報(bào)童問題）應(yīng)如何訂定生?計(jì)劃及需求預(yù)測投資預(yù)算。
  • First , this paper investigates traditional method and bayesian approach of the assessment of system reliability , including the equivalent method of complicated system , the reliability assessment of multiple components , prior information conversion
    首先，本文研究了了可靠性評估的經(jīng)典方法和bayes方法，包括復(fù)雜系統(tǒng)的可靠性等效方法，多種類型單元可靠性評估方法，驗(yàn)前信息的折合。
  • The emphasis of bayesian approach is how to obtain and use the prior information , especially , the simulation information . the modeling methods and technical approach of creating the virtual samples are partly discussed and the methods of programming are given . it ' s very important for the prior information to have a consistence test
    Bayes方法重點(diǎn)是關(guān)于驗(yàn)前信息的獲取和利用問題，尤其是對仿真信息的獲取和利用，文中對仿真虛擬樣本的建模方法和技術(shù)途徑作了部分討論，并給出軟件實(shí)現(xiàn)的具體方法。
  • On this basis a nonlinear filtering technique of sequential monte carlo particle filter based on bayesian approach is emphatically disussed which the posterior distribution of the state variables can be represented by a set of weighted particles , so the method base advantages over the above algorithms in robustness and accuracy for nonlinear non - gaussian filtering problems
    在此基礎(chǔ)上重點(diǎn)論述了一種基于貝葉斯原理的序貫蒙特卡羅粒子濾波技術(shù)，該方法通過粒子的加權(quán)和表征后驗(yàn)概率密度，獲得狀態(tài)估值，在處理非線性非高斯系統(tǒng)的狀態(tài)估計(jì)問題時(shí)精度逼近最優(yōu)，魯棒性更好。
  • By introducing the two solutions , suggested by dorling and strevens respectively , to duhem ' s problem with bayesian approach , this paper aims to explain how duhem ' s problem is treated in bayesian framework , and make a comparison between the two solutions , with a conclusion that strevens ' solution is more rational and objective
    本文主要通過介紹多林與斯特雷文斯各自運(yùn)用貝葉斯方法解決迪昂問題的兩個(gè)方案，試圖說明迪昂問題在貝葉斯機(jī)制中的處理方式，并且對這兩個(gè)方案作出比較，認(rèn)為斯特雷文斯的方案更為客觀與合理。
  • The thesis mainly recounts the detail questions about bayesian small sample theory and the important applications of the theory in engineering , and gives sufficient analyses and discussion of every step of accomplishing a precision evaluation when using small samples . in the thesis , the following issues are contained , such as how to get and denote the prior information , the consistence test of prior information and test samples of shooting range , the fusion of multi - source information , calculating of posterior probability , estimation with bayesian approach , how to constitute test evaluation project of different performance and calculate the risks of both sides are contained , and at last a kind of applied method to calculate the effectiveness is given
    論文主要敘述了有關(guān)bayes小樣本理論的一些具體問題，以及該技術(shù)在工程中的一些關(guān)鍵應(yīng)用，對小樣本條件下精度鑒定的各個(gè)環(huán)節(jié)給予較充分的分析和討論，其中包括驗(yàn)前信息的獲取、表示，驗(yàn)前信息和靶場試驗(yàn)樣本的一致性檢驗(yàn)，多源信息的融合，驗(yàn)后概率的計(jì)算， bayes方法在估計(jì)中的應(yīng)用，試驗(yàn)鑒定方案的制定，對不同戰(zhàn)標(biāo)的評估方法和風(fēng)險(xiǎn)的計(jì)算等，最后對作戰(zhàn)效能的計(jì)算給出了一種工程中較實(shí)用的方法。

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