1)probability representation概率表征
1.The reasoning tasks were Bayesian calculation and judgment to explore the effects of different probability representation,understanding probability rule on the Bayesian inference.该研究以贝叶斯推算、判断为实验任务,探讨了三种概率表征(百分比、自然频率、概率词)、三种概率规则认识水平对贝叶斯推理的影响,结果表明:1)概率词表征的贝叶斯推算实质是判断过程。
2.This paper pointed out the deficiency of classic Bayesian reasoning on prior probability,probability representation,reasoning task,and tried to explore the homogeneity of form structure between realistic and standard Bayesian question under the Dual Structure Model of Item and Knowledge.研究从先验概率、概率表征、推理任务等方面探讨了经典贝叶斯推理研究中存在的不足,试图在"知识和试题双重模型"框架下,探索现实和标准贝叶斯试题的形式结构的同质性,结果表明:1)自然频次表征比百分比表征的贝叶斯推算题正确率高,这是因为试题的形式结构不同,与概率表征无关;2)贝叶斯判断题与贝叶斯推算题的试题形式结构存在显著差异;3)贝叶斯推算题中,概率词表征与其它两种表征的试题形式结构存在显著差异,其实质是贝叶斯判断。
英文短句/例句
1.Study of the Homogeneity of Form Structure on Bayesian Reasoning with Different Probability Representation不同概率表征的贝叶斯推理试题形式结构的同质性研究
2.Characterization Method for Organization Knowledge Based on Subjective Probability Terms;基于主观概率的组织知识的表征方法
3.Effects of Different Probability Representation on Bayesian Reasoning;概率的不同表征对贝叶斯推理的影响的研究
4.The Impact of Different Information Representations of Frequency and Probability Formats on the Risk Judgement Relating to the Personal and Economic Issues频率、概率格式的不同信息表征对人身、经济问题风险判断的影响
5.characteristic function of probability distribution概率分布的特征函数
6.To token both curve of uncertainty is recommend which Probability Density Function and Cumulative Density Function.介绍了表征不确定性的概率密度函数和累计密度函数曲线。
7.A higher probability means more confidence.概率越大，表示越可信。
8.Face Detection Based on Haar-Feature Probability Distribution and SVM;基于Haar特征概率分布与SVM的人脸检测
9.Transition of probability of sand grain creep at the initial stage of aeolian transport;风力作用下沙粒蠕移概率的转化特征
10.Proability fusion method for the data from different feature based on support vector machine基于SVM的多特征数据的概率融合方法
11.An influence diagram(here.it is named as decision relevance diagram) is a schematic representation for probabilistic and decision analysis models.影响图（本文称为决策关联图①）是概率模型和决策分析模型的一种网络表征。
12.Visual Representation Construction and Teaching of Mathematical Concepts;数学概念直观表征的建立与数学概念的教学
13.Note that this will always be in the form of a probability statement.须注意这始终是以概率来表达的。
14.Probability and Arrow of Time ──New Discription of Natural Law;概率与时间之矢──自然法则的新表述
15.The optimal fusion rule of minimizing global error probability is derived. The analytic expressions of global false alarm probability and miss probability are obtained.推导出使全局错误概率最小化的最优融合准则,以及全局的虚警概率和漏报概率的解析表达式.
16.Here to recapitulate is a detailed list of the program characteristics这里概括了程序特征的详细列表
17.Development of Conceptual Representation in Nonproficient Chinese-English Bilingual Children不熟练汉英双语儿童概念表征的发展
18.THE SUMMARIZATIONS ON THE REPRESENTATION ABILITY OF 0 - 1.5 YEARS OLD INFANTS;0―1.5岁婴儿表征能力的研究概述
相关短句/例句
conceptual representation概念表征
1.This study aims to explore the features of conceptual representation by using semantic categorization task.本研究使用跨语言语义分类任务探查了不熟练汉英双语儿童概念表征的特点,被试为从小学一年级开始学习英语的小学三年级、五年级和初中一年级学生。
2.By manipulating the relationships between the priming and target words,we used the cross-language priming lexical decision task to explore how the lexical representation of the proficient Uighur-Chinese Bilinguals second language accesses its conceptual representation.这些结果表明,对于熟练掌握维、汉两种语言的维吾尔族大学生而言,两种语言无论在词汇表征上,还是在概念表征上都建立了很强的联系,两种语言间词汇通达的不对称性已接近消失,支持了Kroll等人提出的整合的层级模型。
3.How the conceptual representation is shared is an important issue these days.总的实验结果表明,在基于内隐记忆的跨语言重复启动的范式下,非熟练中-英双语者的记忆表征支持概念表征共享、词汇表征分离的观点。
3)probabilistic characteristics概率特征
1.With the consideration of the spatial variation of physical parameters of soft clay, the probabilistic characteristics of the one-dimensional average degree of consolidation of soft clay was studied and its sensitivity of variance to permeability, void ratio and compression coefficient of soil was also analyzed.在考虑岩土参数空间变异性的情况下,对软粘土地基一维固结平均固结度的概率特征进行了研究,分析了平均固结度的概率特征对渗透系数、孔隙比和压缩系数三参数变异性的敏感性,进行了岩土参数分布类型对平均固结度影响的正交试验,并根据试验结果进行了方差分析,为进一步开展多层地基固结的可靠性分析打下了基础。
4)probabilities of features特征概率
5)C-Semigroup概率表示
1.Saturation Theorem for probabilistic Pepresentation Formulas of C-Semigroups;C半群概率表示的饱和定理
6)conceptual representation概念的表征
延伸阅读
表征表征representation信息在头脑中的呈现方式。根据信息加工的观点，当有机体对外界信息进行加工时，这些信息是以表征的形式在头脑中出现的。所以表征是客观事物的反映，又是被加工的客体。信息的编码和存储有视觉形象形式和言语听觉形式，抽象概念或命题形式。那些具有形象性特征的表征，也称表象，它只是表征的一种形式。
