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probability相关的网络例句

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

Association rule is a simple statement about the concurrence probability of some certain events in database.

关联规则是数据库中某些特定事件一起发生的概率的简单陈述。

Then this paper introduces the definition of conditional random fields, the graph structure, potential functions, parameters estimation and probability computations.

进一步地,将条件随机场模型应用于中文命名实体识别任务,提出了适合于各类中文命名实体的特征模板,并通过实验进行验证,确定了有效特征。

A conditional probability density function of the SAR imaging systems is derived, These works lay a foundation for further research.

将SAR成象系统视为一个多元接入信息系统,在深入分析系统构成的条件下,求出该系统的传递概率密度函数。

This paper uses mixture density networks to forecast the time-varying conditional density values of financial time series, and puts forth a new numerical algorithm to calculate Expected Shortfall. The application in Hong Kong Hangseng index approves that Value-at-Risk at high probability levels is accurate, and that it also has good forecasting ability in fluctuation. MDNs can effectively describe the empirical distribution of returns and the volatility mechanism, and is a new model for measuring financial market risk.

基于混合密度网络模型估计金融时间序列的时变条件密度,提出采用数值模拟方法计算Expected Shortfall的新途径,对香港恒生指数的实证研究表明,VaR的预测精度在高端分位点较好,模型评估指标反映出预测效果良好,混合密度网络可以有效地描述收益的经验分布统计特征和波动规律,是一种有效的金融市场风险测量模型。

Adopt the generalized maximum likelihood radio test based on the Neyman-Pearson algorithm, to study two unresolved Rayleigh targets. And deduced the detection statistic which is chi-square random variable, which only need to know the conditional probability density functions of echo's measured amplitude, in-phase and quadrature of monopulse radio, but the signal-to-noise radio and the direction-off-arrival of any signal are unnecessary.

采用基于涅曼-皮尔逊准则的广义似然比检测,对不可分辨的两个瑞利目标进行了研究,推出了服从χ2分布的检验统计量,此方法只需要知道目标回波信号测量幅值的条件概率密度函数、单脉冲和差比值的同相和正交部分,而不需要任一目标信号的信噪比和DOA的先验知识。

Then the stationary joint probability density, the conditional reliability function, the mean first-passage time of the optimally controlled system are obtained from solving the reduced FPK equation, the backward Kolmogorov equation and the Pontryagin equation, respectively of fully averaged systems.

求解与之相应的Fokker-Planck-Kolmogorov方程得最优控制系统的联合概率密度,进而求得最优控制系统的平均幅值;求解与之相应的后向Kolmogorov方程得最优控制系统的条件可靠性函数,进而求得首次穿越时间的条件概率密度;求解与之相应的Pontryagin方程得最优控制系统的平均首次穿越时间。

The kernel of stochastic model is the construction of joint distribution or conditional probability distribution.

随机模型的核心问题是构建联合分布或条件概率分布。

The conditional distribution probability of the pixels is used as the feature for texture classification.

根据这一特点,大多纹理模型都以研究纹理图像的局部属性为切入点。

Methods for feature space discretization based cluster algorithm and class conditional probability distribution estimation are proposed.

首先针对应用贝叶斯决策理论时难以估计类条件概率密度函数的问题,提出了特征空间离散化及相应的类条件概率分布的估计方法。

The packet data loss is modeled as a Bernoulli distributed white sequence with a known conditional probability distribution.

测量数据的丢失假设满足已知概率的Bernoulli分布。

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