1) conditioned probability matrix
条件概率矩阵
1.
Regarding all dispersed stochastic variables distribution as “unit space” and treating conditioned probability matrixes as a mapping between unit spaces,the author applies these to information theory and obtains a better algorithm of channel capacity,and proves that there must be a steady point if the state of transition probability matrix in Marcov Chains is limited.
给出离散型随机变量的概率分布律所成的单位空间的定义 ,将条件概率矩阵看作单位空间之间的映射 ,研究其中一些性质。
2) probability matrix
概率矩阵
1.
In this paper the method dealing with the distribution of passenger stream into the vehicle and probability matrix of passenger out of the vehicle is discussed.
本文讨论了城市公交车调度问题中的上车乘客流分布和下车概率矩阵的处理方法,建立了基于模拟公共汽车运行的公交车调度问题的数学模型,给出了解法,并对模型的应用进行了讨论。
2.
A k-steps fault pervasion and localization algorithm is put forward,which fractionalizes the fault directional graph and finds the optimal pervasion route or the most suspicion nodes with the fault propagation probability matrix.
对系统故障有向图进行了分片处理,结合故障传播概率矩阵对故障嫌疑节点进行故障扩散模拟寻找最佳扩散路径和最大嫌疑节点。
3.
In the algorithm, every possible motion vector s probability of current macro block is estimated by the previous macro blocks motion vectors, and constitutes the probability matrix whose size is as the same as the search window s.
为了提高运动向量估计算法的速度和精度,提出了一种改进的快速块匹配运动估计算法:依据之前宏块的运动向量,估计当前宏块各可能的运动向量对应的概率值,组成和搜索窗口同样大小的概率矩阵,并根据概率大小限制搜索的次数。
4) 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
5) 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。
6) 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
补充资料：转移概率矩阵
转移概率矩阵
matrix of transition probabilities
转移概率矩阵【“.枕议of七队d位翻声如城翻;nepex-。江皿‘区.ePo，.oeTe曲Ma邓H”a】 状态集S至多为可数的齐次MaP劝.链(Mark0Vd.in)奴O在时刻:的转移概率(加璐币皿probab正-公)构成的矩阵尸:=!}Pi)(O”，其中 夕。(t)=p{看(t)=jl亡(0)=i}，i，j“5.离散时间Ma匹oB链或连续时间正则MaPx伪链的转移概率矩阵i}儿(t)“对任意t>0和i，j“S满足以下条件: p。(‘))”，属p‘，(‘)一‘，即它们是随机矩阵(sto比出tic Inatr认)，而对非正则链则有 ，。(亡))0，艺夕。(t)‘l， 夕‘S称这种矩阵为次随机的(sub·stoc】秘tic). 由于齐次Ma琳oB链的基本(CllaP~一K~。ro-poB)性质 ，。(“+‘)一蕙，‘*(“)，*，(亡)，矩阵族{尸‘:亡)0}形成一个乘法半群(m川tiplicativeseITU一gro叩);如果时间是离散的，这个半群由尸:唯一决定.A，M.3y6KoB撰
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条