1) random conditional entropy
随机条件熵
1.
The notion of entropy density deviation and average random conditional entropy of arbitrary information sources on finite alphabet set relative to nonhomogeneous Markov chain are introduced,and the random deviation inequations between the relative entropy densities of arbitrary information sources and the average random condition entropy relative to nonhomogenous Markov chain are obtained.
通过引进有限字母集上任意信源相对于非齐次马氏链的熵密度偏差和平均随机条件熵的概念 ,得出了任意信源的相对熵密度与相对于非齐次马氏链的平均随机条件熵之间的随机偏差不等式 。
2.
A class of strong limit theorems for the random conditional entropy densities of the sequence of arbitrary random variables on the gambling system are discussed by applying the differentiation on a net and analytical methods.
采用网微分法和分析运算方法来研究赌博系统中任意随机变量序列随机条件熵的一类强极限定理,并由此得出若干任意信源的Shannon-Mcmillan定理。
3.
In this paper, the notion of random conditional entropy of finite nonhomogeneous markov chains is introduced, and the relation between this notion and the relative entropy density is studied.
本文引进有限非齐次马氏链随机条件熵的概念，研究这个概念与相对熵密度的关系，并通过数列的绝对平均收敛的概念给出有限非齐次马氏链的相对频率、相对熵密度和平均随机条件熵ａ。
2) average random conditional entropy
平均随机条件熵
1.
By improving the original condition,obtain the strong law of large numbers on the frequencies of occurrence of states and ordered couples of states,relative entropy density,average random conditional entropy for finite non-homogeneous Markov chains.
研究一类有限非齐次马氏链的强大数定律,通过改进已有条件,得到了一类关于状态及状态序偶出现频率、熵密度、平均随机条件熵的强大数定律,推广了已有结果。
4) conditional random fields
条件随机域
1.
Web information extraction based on conditional random fields;
基于条件随机域的Web信息抽取
2.
Conditional Random Fields Based POS Tagging;
基于条件随机域的词性标注模型
3.
Using conditional random fields model for text information extraction;
基于条件随机域CRF模型的文本信息抽取
5) conditional random field
条件随机场
1.
A Text Extraction Method for Image with Complex Background Based on Conditional Random Field
一种基于条件随机场的复杂背景图像文本抽取方法
2.
In order to enhance the utilization of context features for information extraction which is greatly restricted by the hidden Markov model(HMM),a method based on the conditional random fields(CRFs) is proposed to extract the information of paper header and citation from Chinese research papers.
由于隐马尔可夫模型不能充分利用对抽取有用的上下文特征,因此文中提出了一种基于条件随机场的中文科研论文头部和引文信息抽取方法,该方法的关键在于模型参数估计和特征选择。
3.
Firstly,a maximum a posteriori framework is created according to conditional random field model and Markov random field model.
首先根据条件随机场模型和马尔可夫随机场模型建立了一个最大后验概率框架。
6) conditional random fields
条件随机场
1.
Semantic role labeling based on conditional random fields;
基于条件随机场的语义角色标注(英文)
2.
Research of applying conditional random fields to Chinese lexical analysis;
应用条件随机场进行汉语词法分析研究
3.
Research of Chinese Word Segmentation with Conditional Random Fields;
基于条件随机场的汉语分词研究
补充资料：随机数和伪随机数
随机数和伪随机数
random and pseudo-randan numbers
随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了，a如曰e”nce，口oc月卿成.以叹“c月a】 数亡。(特别，二进制数:。)，其顺序出现，满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的，前者由随机的装置来生成，而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质，这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O，l]上均匀分布的随机数亡。，尸(亡。
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