1)CPT条件概率表
1.The cause-effect relationship between the nodes is described by conditional probabilities table(CPT).用模糊变量表示节点变量,用条件概率表(CPT)表达节点间的定性因果关系,利用贝叶斯推理和回溯搜索找出故障源候选解的集合,并对候选解进行排序。
2)conditional probability table条件概率表(CPT)
3)conditional probability条件概率
1.Problems and Improvements in the Teaching Methods of Conditional Probability;条件概率教法中的问题与改进
2.Some notes on conditional probability;关于条件概率的几点注记
3.The sample chain of PE is built according to the real bond length, bond angle and the conditional probability of a certain segment staying in one or another rotational isomeric state under Θ condition.以聚乙烯型尾形链为例 ,采用了不同于Metropolis原理的一种新理论模型 ,该模型根据链的实际键长 ,键角和Θ条件下每一链段处于不同旋转异构态的条件概率生成样本链分子 ;并且论述了该模型的实现步骤、条件概率的计算及构象相关物理量统计平均值的计算公
英文短句/例句
1.conditional probabilityph.1. 条件概率
2.a posteriori conditional probability density后验条件概率密度函数
3.Dimensions Reduction Method by Conditional Probability for the Approximation to the Failure Probability of Structural Systems;结构体系失效概率近似计算的条件概率降维法
4.We shall discuss conditional probability first, because the concept of joint probabilitlies is best illustrated by using conditional probabilities as a basis.我们先讨论条件概率，因为联合概率的概念，必须以条件概率为基础才能更好地予以说明。
5.The discussion of the probabilities of pascal distribution;负二项分布及条件概率封闭性的研究
6.The Research in Conditional Probability and Application;关于条件概率及其应用的教学研究与探索
7.Application of Curtailing Sample Space in Computation of Conditional Probability;缩减样本空间在条件概率计算中的应用
8.Model for Aircraft Safety Analysis Based on Conditional Probability一种基于条件概率的飞机安全性分析模型
9.Study of the conditional probability truth degree of formulas in the Gdel logic systemGdel逻辑系统中公式条件概率真度的研究
10.Conditional probability truth degree of formulas in continuous value propositional logic system连续值命题逻辑系统中公式的条件概率真度
11.Automatic Deep Web Data Extraction and Integration Using Conditional Probabilistic Graphical Models;基于条件概率图模型的Deep Web数据抽取与集成研究
12.Returns the probability that values in a range are between two limits or equal to a lower limit返回一概率事件组中符合指定条件的事件集所对应的概率之和
13.Probability Theory of Conditional Inference有关条件推理认知机制的概率理论
14.The Research of Calculating the Probability of Default under Business Cycle;初探经济周期条件下的违约概率计算
15.A Note on Some Probabilistic Properties of AACD Model扩展自回归条件久期模型的概率性质
16.On Two Types of High-Probability Conclusion Effects in Conditional Inference论条件推理中的两种“高概率结论效应”
17.An Experimental Study on the Effect of Probability Factor in Conditional Inference;条件推理中不同前后件概率组合的实验效应
18.Research of Probability Judgment under Uncertain Condition Based on Multiple-cue Probability Learning (MCPL);基于多重线索概率学习范式的不确定条件下概率判断研究
相关短句/例句
conditional probability table条件概率表(CPT)
3)conditional probability条件概率
1.Problems and Improvements in the Teaching Methods of Conditional Probability;条件概率教法中的问题与改进
2.Some notes on conditional probability;关于条件概率的几点注记
3.The sample chain of PE is built according to the real bond length, bond angle and the conditional probability of a certain segment staying in one or another rotational isomeric state under Θ condition.以聚乙烯型尾形链为例 ,采用了不同于Metropolis原理的一种新理论模型 ,该模型根据链的实际键长 ,键角和Θ条件下每一链段处于不同旋转异构态的条件概率生成样本链分子 ;并且论述了该模型的实现步骤、条件概率的计算及构象相关物理量统计平均值的计算公
4)Condition Probability条件概率
1.The author has acted as some exploration during the conditional probability teaching and has proved it is very effectual for guiding students to understand condition probability that leads into the concept by the instances.笔者在条件概率教学中作了一些探索,证明用实例引入概念对于引导学生理解条件概率是十分有效的。
2.For the reason of that the calculation of ID3 is complex,an advanced way referring condition probability and other knowledge to improve the structure of the decision tree is proposed.针对决策树的经典算法(ID3)计算比较复杂的问题,提出利用条件概率等知识来改进决策树的构造。
5)probabilistic condition概率条件
1.Special mode order reduction based on probabilistic condition基于概率条件的特定模式降阶研究
6)conditional quasi probability条件拟概率
延伸阅读
条件概率条件概率conditional probability b)尸(A}刃丫尸(。，，们以概率l少戊立 对正则条件概率来说，条件数学期望可表为积分，其中条件概率起绮测度的作用.对随机变量x的条件概率定义为对由厂生成的。代数的条件概率条件概率[c.山‘佣习p油abi“ty;yc月。圈翻.，翔T-压比百‘] l)一事件对另一事件的条件概率是联系这两事件的一特征，若A和B都是事件而P(B)>O，则事件A对B(或在B的条件下，或关于B)的条件概率P(A}B)由等式 P(A门B、 P(A}B、=一‘一二一二一二 P(B)定义.条件概率P(AJB)可视为在B发生的条件下，事件A实现的概率.对独立事件A和B，条件概率户(A}B)等于其无条件概率户(A). 关于事件的条件和无条件概率的联系，见Bayes公式(Bayes formula)和完全概率公式(eomPlete Proba-bility formula). 2)一事件A对一，代数忍的条件概率为一随机变量尸(A}忍)，它对黔可测，且对任何B任忍有 苦p‘AJ男’p‘d。，一尸‘An”’对一。代数的条件概率确定到等价类. 如果。代数由可数个正概率互斥事件B.，BZ，…所生成，且Bl，BZ，…的并为全空间。，则 p(A}男)二p(A}B*)，对。:Bk，k==1，2，一 一事件A对一a代数忍的条件概率可定义为A的指示函数的条件数学期望(conditional mathematicalex详ctation)〔(I.{刃). 设恤，了，P)为概率空间，见为了的子。代数.条件概率户(A}忍)称为是正则的(regular)，如果存在函数P(田，A)，田任O，A〔矿，使 a)对固定的。，p(。，A)为a代数了上的概率测度.
