probability parameter中文是什么意思

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中文翻譯
造句

[統(tǒng)計(jì)] 概率參數(shù)

probability n. 1.或有；或然性。 2.【哲學(xué)】蓋然性〔在 certainly 和 doubt 或 posibility 之間〕。 3.【數(shù)學(xué)】幾率，概率，或然率。 4.或有的事；可能的結(jié)果。 5.〔pl.〕〔美俚〕天氣預(yù)測(cè)。 What are the probabilities 有幾分把握？ The probabilities are against us [in our favour]. 趨勢(shì)對(duì)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(huì)。 There is no probability of [that] ... 很難有，很難會(huì)。
the probability is that 大概, 想必
a-parameter 孔性壓力參數(shù)
in parameter 寫入?yún)?shù)
in-parameter 輸入?yún)?shù)
no such parameter 參數(shù)不存在
parameter n. 1.【數(shù)學(xué)】參數(shù)，變數(shù)；參詞；參項(xiàng)。 2.【物理學(xué)】參量；(結(jié)晶體的)標(biāo)軸。 3.〔廢語〕【天文學(xué)】通徑。 vt. -ize 使參數(shù)化。
a orption probability 吸收概率
a posterier probability 后驗(yàn)概率
a posteriori probability 后驗(yàn)概率
a prior probability 先驗(yàn)概率
a priori probability 先驗(yàn)概率
absolute probability 絕對(duì)概率
absorption probability 吸收概率
acceptance probability 合格概率; 接受概率
acceptance probability of 允收機(jī)率
accident probability 事故的可能性; 事故可能性
accidental probability 偶然概率
acquisition probability 捕獲概率; 目標(biāo)探測(cè)概率; 占用概率
acquistion probability 截獲概率
action probability 行動(dòng)概率
acute probability 敏感概率
additivity of probability 概率可加性
adsorption probability 吸附概率
ambient probability 環(huán)境概率

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例句與用法

The two-stage modeling method for software project risk ’ s static bayesian networks is studied . the object-oriented modeling method for risk bayesian network is presented, structure refinement method based on network measurement is discussed, and probability parameters refinement method based on maximum likelihood estimates is put forward
為提高風(fēng)險(xiǎn)模型的準(zhǔn)確性,提出了基于網(wǎng)絡(luò)度量的風(fēng)險(xiǎn)貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)改進(jìn)算法,給出了基于極大似然估計(jì)的風(fēng)險(xiǎn)貝葉斯網(wǎng)絡(luò)概率參數(shù)更新算法。
In the first chapter, the thesis illustrates the foundation and significance of this thesis and simply summarizes their researchful history and actualities of bn and cbr . in the second chapter, the thesis firstly explains the notion of bn, afterwards studies the application of bn in data-mining ( dm ) in detail and also studies the learning of the probability parameter and the structuring framwork of bn in the condition of the full data and the lacked data
第一章，說明了本文的研究背景和意義并且簡(jiǎn)單總結(jié)了貝葉斯網(wǎng)和范例推理的研究歷史和現(xiàn)狀。第二章，首先給出了貝葉斯網(wǎng)絡(luò)的概念，然后詳細(xì)研究了貝葉斯網(wǎng)用于數(shù)據(jù)挖掘。分別對(duì)數(shù)據(jù)完整和不完整情況下，概率參數(shù)的學(xué)習(xí)和貝葉斯網(wǎng)結(jié)構(gòu)的建立作了研究。

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