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subjective probability相关的网络例句

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与 subjective probability 相关的网络例句 [注:此内容来源于网络,仅供参考]

The theorem of convergence of opinions is regarded as the dynamic principle of rationality concerning the subjective probability, and therefore is used to resolve Hume's problem, i.

意见收敛定理是主观主义概率论的一条重要定理,它表明随着证据的增加,验前概率的主观性将被验后概率的客观性所代替。

The language of uncertainty has three main categories:(1) words such as probably, possibly, surely, which denote a single subjective probability and are potentially quantifiable;(2) words like many, often, soon, which are also quantifiable but denote not so much a condition of uncertainty as a quantity imprecisely known;(3) words like fat, rich, drunk, which can not be reduced to any accepted number because they are given different values by different people.

模糊语言有三大类:(1)"很可能"、"有可能"、"肯定会"之类的词。这类词表示个人主观认为的可能性,这些词在发言人的心目中是有一定的潜在的数量的;(2)"很多"、"经常"、"很快"之类的词表示的是模糊的状况倒不如说表达的是知道得不够确切的数量;(3)"肥胖"、"富有"、"酒醉"之类的词,这类词不能精确到大家都能同意接受的数字,因为不同的人对这些词都会有不同的评价。

The language of uncertainty has three main categories:(1) words such as probably, possibly, surely, which denote a single subjective probability and are potentially quantifiable;(2) words like many, often, soon, which are also quantifiable but denote not so much a condition of uncertainty as a quantity imprecisely known:(3) words like fat, rich, drunk, which can not be reduced to any accepted number because they are given different values by different people.

不确定的语言主要可分三类:(1)像probably,possibly,surely一类的记号,它们表达某一主观的、可以量化的可能性;(2)像many,often,soon一类的词,它们也是可以量化的,但它们表示的与其说是不能肯定的状态,不如说是一个知之不确的数量;(3)像fat,rich,drunk一类的词,它们不能将其转化为任何可接受的数字,因为不同的人赋予它们的量值不同。

The language of uncertainty has three main categories:(1)words such as probably, possibly, surely, which denote a single subjective probability and are potentially quantifiable;(2)words like many, of-ten, goon, which are also quantifiable but denote not so much a condition of uncertainty as a quantity imprecisely known;(3)words like fat, rich, drunk, which can not be reduced to any accepted number because they are given different values by different people.

模糊语言可分为三类:1。表示单一主观意义上可能性的,可能定量的词语,诸如"很可能"、"可能"、"肯定"等词。2。诸如"许多"、"时常"、"不久"等词语,这类词语也可以定量,但所表达的意义与其说是某种不能肯定的状况,不如说是一个知之不确的数量。3。诸如"胖"、"富"、"醉"这类词语,不能精确到人们都认同的数量,只因不同的人有不同的评判标准。

With the help of the subjective probability of individual preference, it introduces the concept of stochastic Borda-number mapping.

在第二章,对于具随机偏爱信息的群体决策问题,给出了两个具有代表性的群体决策方法。

Qualitative analysis and forecasting methods are: experts predict, Delphi method, the subjective probability law.

定性分析预测方法主要有:专家预测法、德尔菲法、主观概率法等。

Savage's research on subjective probability and the foundation of statistics.

萨维奇研究主观概率和统计学基础。

Axiomatic developments of utility theory and subjective probability, and elements of Bayesian theory.

效用理论和主观概率的发展,贝叶斯理论基础。密歇根大学贝叶斯决策分析、贝叶斯推断。

At first,this paper introduces differences between Dempster-Shafer's evidence theory and Bayes' subjective probability theory and main definitions and algorithms on D-S evidence theory.

本文首先介绍了证据理论与贝叶斯主观概率理论对于解决不确定性问题的差异,证据理论的主要定义和算法。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法,由于其在解决不确定性问题上存在诸多缺陷,近年来,将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

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