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prior probability中文是什么意思
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- 中文翻譯
- 造句
- 先驗概率
- 預先概率
- prior n. 1.小修道院院長，大修道院的副院長。 2.【歷史】 ...
- probability n. 1.或有；或然性。 2.【哲學】蓋然性〔在 cer ...
- a prior probability 先驗概率
- neutral prior probability 中立先決概率
- objective prior probability distribution 客觀先驗概率分布
- prior probability distribution 先驗概率分布
- be prior to 在前的；居頭的
- prior at 在...之前
- prior to 在之前; 在...之前，居先; 在...之前；先于; 在…前，先于; 在前,居先,比…在先; 之前
- the prior 大修道院的副院長
- probability n. 1.或有；或然性。 2.【哲學】蓋然性〔在 certainly 和 doubt 或 posibility 之間〕。 3.【數學】幾率，概率，或然率。 4.或有的事；可能的結果。 5.〔pl.〕〔美俚〕天氣預測。 What are the probabilities 有幾分把握？ The probabilities are against us [in our favour]. 趨勢對我們好像不利[有利]。 hit probability 命中率。 in all probability 很可能，大概，多半，十之八九。 probability of (missile survival) (飛彈不被擊落的)概率。 The probability is that ... 大概是…，很可能是…。 There is every probability of [that] ... 多半有，多半會。 There is no probability of [that] ... 很難有，很難會。
- the probability is that 大概, 想必
- a prior criteria 先驗準則
- a prior distribution 事前分布; 先驗分布
- a prior estimate 事前估計; 先驗估計
- a prior restriction 先驗限制
- carl prior 卡爾普里奧爾公司
- james prior 詹姆斯普賴爾
- previous to (=prior to) 在…之前
- prior action 預先動作
- prior agreement 事先協定
- prior announcement 事先聲明
- prior approval 事前許可; 事先批準; 預先核準
- prior art 前案; 先有技術; 現有技術; 在先技術
- Late in the season, the fans find that they must alter their prior probabilities of winning .
比賽后期，球迷們發現必須變更他們事前估計的獲勝概率。 - The algorithm needs no prior probability distributing knowledge of measurement data , and is easy to realize with simple programming and calculation
該算法不要求知道測量數據的任何先驗概率分布知識，編程簡單，計算量小。 - It is popularly considered that considering the influence of the prior probability accords with bayes rule and ensures the minimal loss in the classifying progress
一般認為,考慮先驗概率符合bayes準則,能夠保證分類過程中錯分的損失最小。 - In the process of decision with risks , if we using sampling theory , the best decision in prior probability and modified posteriori probability can be obtained
在進行風險型決策過程中，若能結合抽樣理論，就可以以最低的代價找到先驗概率下及修正后的后驗概率下選擇最優決策方案。 - Supported by the analysis and advance process to the geographical data using gis software , the paper discusses the question that whether the accuracy of bayes supervised classification will be improved considering the influence of the prior probability
本文嘗試利用gis軟件對地理數據進行分析和預處理,對考慮先驗概率是否提高bayes監督分類精度這一問題作了探討。 - The results show that bayes algorithm performs well in combining radar information for target identification because the need of prior probability is not too strict . but for bayes method , the robustness is not so well as that of d - s method
結果表明， bayes方法對先驗信息的精確程度要求并不十分嚴格，能較好地解決雷達情報綜合問題，而d - s方法比bayes方法更具有穩健性，但是其收斂時間較長。 - The proportion based on the assistant data is used as the prior probability to replace the prior value in the conventional supervised classification ; the farther iterative prior probability is applied into classifying progress on landsat tm image
由輔助數據中計算各類別面積比率作為先驗概率,替換傳統監督分類中的先驗值,并進一步對先驗概率進行迭代,最后利用改進的先驗概率對landsattm影像進行分類實驗。 - 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
與一般基于規則的專家系統相比，貝葉斯網專家系統利用先驗概率分布，可以使推理在輸入數據不完備的基礎上進行；以網絡的拓撲結構表達定性知識，以網絡節點的概率分布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。 - Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory . when comes to bayesian classification , it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability . then , it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one
蒙特卡羅是一種采用統計抽樣理論近似求解數學或物理問題的方法，它在用于解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分布，然后利用某種抽樣器，分別得到滿足這些條件分布的隨機數據，最后統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分布。 - The main conclusions are following : ( 1 ) compared with the conventional mlc , the method of iterative prior probability based on the vector map can dispel the prior probability ’ s influence and the overall accuracy and kappa index can be improved ; ( 2 ) to the types with greater area than average area of all types , the producer ’ s accuracy will be improved while user ’ s accuracy be lessened , but to the ones with smaller area , the situation is just the opposite
本研究的主要結論是: ( 1 )與傳統的最大似然法分類相比,利用地理數據矢量化得到的先驗概率進行迭代,可進一步消除先驗概率對最大似然分類法分類結果的影響,使分類總精度和kappa指數有進一步提高; ( 2 )分布面積大于平均值的類別,生產者精度一般會變高,使用者精度會變低;分布面積小于平均值的類別,生產者精度一般會變低,使用者精度會變高。
In Bayesian statistical inference, a prior probability distribution, often called simply the prior, of an uncertain quantity p (for example, suppose p is the proportion of voters who will vote for the politician named Smith in a future election) is the probability distribution that would express one's uncertainty about p before the "data" (for example, an opinion poll) is taken into account. It is meant to attribute uncertainty rather than randomness to the uncertain quantity clarification neededweasel words.
詳細百科解釋
- prior probabilityとは意味：検査前確率｛けんさ まえ かくりつ｝、事前確率｛じぜん かくりつ｝、先験確率｛せんけん かくりつ｝
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