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bayesian theory in Chinese

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

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  • 貝葉斯理論

Examples

  • Algorithm of image segmentation based on wavelet transform and bayesian theory
    基于小波變換和貝葉斯理論的圖像分割算法
  • Bayesian theory and bayesian models are system introduced in the thesis
    本文對(duì)貝葉斯理論和貝葉斯模型進(jìn)行介紹和討論。
  • Objective to study the methods of estimation of prior parameter and compare their application condition in the absence of the gold standard based on the bayesian theory
    摘要目的探討無(wú)金標(biāo)準(zhǔn)診斷實(shí)驗(yàn)條件下，貝葉斯先驗(yàn)參數(shù)的確定方法，并比較不同方法的應(yīng)用條件。
  • Readers learn how to use the renowned bayesian theory of probability and other guideposts from outside the world of finance to adjust their strategies and react to new information
    讀者學(xué)習(xí)如何使用知名貝葉斯概率論和其他重要思想，從外部世界的財(cái)務(wù)調(diào)整自己的戰(zhàn)略和反應(yīng)，以新的信息。
  • This technique is build on bayesian theory . combining probability statistical learning and scene estimating , it can generate a complexing edge detection pattern . we call this technique edbml
    該技術(shù)以貝葉斯理論為基礎(chǔ)，應(yīng)用概率統(tǒng)計(jì)學(xué)習(xí)與景物估計(jì)相結(jié)合的方式為原模糊圖像生成了一個(gè)合成的邊緣標(biāo)記結(jié)果圖，把這個(gè)技術(shù)稱作edbml 。
  • 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(jiān)實(shí)的數(shù)理統(tǒng)計(jì)知識(shí)基礎(chǔ)之上，基于求解后驗(yàn)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(yōu)的。
  • Secondly , bayesian theory is applied to the risk evaluation of the traffic prediction . then , the future inference can be gained from the experience data and the specimen data by the theory ; meanwhile , the predicted result can be modified constantly with the increase of the specimen
    再者，將貝葉斯推斷理論應(yīng)用于公路建設(shè)項(xiàng)目的交通量預(yù)測(cè)風(fēng)險(xiǎn)研究，這種預(yù)測(cè)方法能夠根據(jù)先驗(yàn)信息和樣本信息做出后驗(yàn)的推斷，并能隨著樣本的增加不斷修正預(yù)測(cè)結(jié)果。
  • The paper introduces the fundamental of tot - bot first , and then does the feasibility of the model to a nalyze wnether it could be used in shaanxi road project ; furthermore , the primary study on the risk management of the model is done . finally , the paper draws the following conclusions : 1 ) the combined model has the advantages of both tot and bot , it can not only activate the fixed assets but also promote the finance of intent projects ; 2 ) faced with the problems of capital shortage and simplified finance model , shaanxi province has a increasing invest demand in the road construction area . it is confirmed that the application of the model tot - bot is feasible to the road construction project of shaanxi by analysis ; 3 ) in the market risk evaluation of the road project , to introduce bayesian theory is both scientific and feasible , which is applied to the risk evaluation of the traffic prediction
    論文首先論述了tot - bot融資模式的基本理論，并對(duì)陜西省公項(xiàng)路項(xiàng)目采用tot - bot方式建設(shè)的可行性進(jìn)行了分析，初步探討了采用tot - bot方式建設(shè)的融資模式設(shè)計(jì)與風(fēng)險(xiǎn)研究，并得出以下結(jié)論： ( 1 ) tot與bot結(jié)合而以bot為主的融資模式tot - bot ，兼?zhèn)淞藘煞N融資方式的優(yōu)點(diǎn)，既盤(pán)活了固定資產(chǎn)又促進(jìn)了政府待建項(xiàng)目的融資； ( 2 )當(dāng)前陜西省公路建設(shè)項(xiàng)目投資需求大，同時(shí)又面臨資金不足而融資渠道單一等問(wèn)題，通過(guò)分析認(rèn)為嘗試將tot - bot項(xiàng)目融資方式應(yīng)用于陜西省公路建設(shè)項(xiàng)目是可行的； ( 3 )在公路項(xiàng)目采用tot - bot方式建設(shè)的市場(chǎng)風(fēng)險(xiǎn)評(píng)價(jià)中，采用貝葉斯推斷理論來(lái)對(duì)交通量預(yù)測(cè)的風(fēng)險(xiǎn)進(jìn)行評(píng)價(jià)是科學(xué)的、可行的。
  • This article has analyised the bayesian theory and proposed a way of improving its filtering technique against chinese mails . after pre - handling the mails . it will deal with them by phrases and then compress the characteristic dimension of the mail collection by using the reduction method of the best attribute of the dependent rough set
    對(duì)樸素貝葉斯理論作為中文郵件過(guò)濾技術(shù)進(jìn)行了分析改進(jìn),郵件預(yù)處理后,對(duì)其進(jìn)行分詞處理,利用基于依賴性的粗糙集最優(yōu)屬性約簡(jiǎn)方法來(lái)對(duì)郵件集進(jìn)行特征維數(shù)壓縮。
  • Influence diagrams are a useful tool that it is used to deal with decision problem . actions of three or more agents are modeled by combining agent technology with bayesian theory . an approach of decomposition and incorporation is developed to resolve the problem which is intractable for exact calculations about multi - agent system based on dynamic bayesian networks
    本文在動(dòng)態(tài)貝葉斯網(wǎng)絡(luò)的基礎(chǔ)上引入了用于處理決策問(wèn)題的影響圖模型，另外還在動(dòng)態(tài)貝葉斯網(wǎng)絡(luò)和agent技術(shù)介紹的基礎(chǔ)上，給出一種基于分解和合并的耦合隱含馬爾可夫模型，解決了三個(gè)以上的agent組成的多agent系統(tǒng)在計(jì)算上不可處理的難題。
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