联合概率

DNA多态性在任意两个个体中的联合概率分布

The joint probability distribution of the polymorphism of DNA in two random individuals

小波域联合概率分布模型与Bayesian图像去噪

Bayesian Image Denoising Based on Joint Probability Distribution Model in Wavelet Domain

联合概率数据关联（JointProbabilisticDataAssociation，JPDA）是密集杂波环境下跟踪多目标最有效的算法之一。

Joint probabilistic data association is one of the most effective algorithms of multiple target tracking in dense clutter .

为了求解这一模型，本文还提出了一个估计应用Reward及Cost联合概率分布的方案。

A scheme to estimate the joint probability distribution of the Reward and Cost of the applications is proposed , which is needed in solving the problem .

研究了联合概率数据关联算法，使用该算法解决了弹道导弹多目标跟踪问题，并进行了Matlab仿真。

Multi-target tracking of ballistic missile groups is researched and solved using JPDA , and then the solution is verified by Matlab simulation . 4 .

再者，贝叶斯网络采用图的形式的网络结构去表达变量的联合概率分布及其条件独立性，能大量地节约概率推理计算时间，对复杂、大型IP网络中定位推理是非常有用的。

Furthermore , the Bayesian networks uses the graph-structure to express the joint probabilistic distribution of variables and conditions of independence , which can greatly simplify the inference complexity even in large-scale IP network .

模态位移和速度响应的联合概率统计分布在截断于五阶Hermite多项式时具有较好精度；

The 5th order Hermite series is recommended for describing the joint statistical distribution with the purpose of higher accuracy .

基于S-D分配的多传感器联合概率数据互联算法

Multisensor joint probabilistic data association algorithm based on S-D assignments

经证明，假如由样本数据得到的联合概率函数严格为正，则该算法发现的Markov网一定是样本的最小I图。

It has been proved that if the joint probability obtained from the sample data is strictly positive , the found Markov network must be the minimal I map of the sample .

具体来讲，我们基于生成模型估计的图像视觉特征与语义概念共同出现的联合概率，设计了MRF新颖的势函数。

Specifically , we propose new potential functions based on joint probabilities of image visual features and semantic concepts estimated by some generative model in AIA .

本文从基于统计方法的垃圾邮件过滤理论着手，重点研究了Bayesian分类器中关于特征概率计算和邮件联合概率的计算问题，以提高垃圾邮件过滤的精确度。

So the accuracy in spam filter plays an important role . We study how to compute a feature 's probability and an e-mail 's combined probability based on Graham 's Bayesian spam filter theory .

采用亚网格动力学模型和联合概率密度函数（PDF）亚网格模型对污染物NO的生成进行大涡模拟。

The NO subgrid-scale formation model and the beta PDF subgrid-scale NO formation model were used for Large-Eddy Simulation ( LES ) of NO emission in model afterburner with V-gutter flame stabilizer .

多目标跟踪问题中，当目标数已知时，可以用概率数据互联（PDA）或联合概率数据互联（JPDA）算法。

In multi-target tracking problem , when the number of objects to track is known , standard Bayesian methods like PDA / JPDA can be employed .

通过响应概率特征函数和Fourier变换，求得Gram-Charlier级数形式的振形位移和速度响应联合概率统计分布。

The probabilistic characteristic function and Fourier transformation are employed to evaluate the joint statistical distribution of modal responses , which has the form of Gram-Charlier series .

关于信用风险的度量，主要是针对CreditMetrics模型的联合概率转移矩阵应用Copula理论，进行双参数Copula函数的参数估计。

On credit risk , the aim is to estimate the parameters of two-parameter Copula function . The method used in the article is applying Copula theory for joint probability transfer matrix in the Credit Metrics model .

IB方法通过给定源变量X和它的相关变量Y的联合概率分布p（x，y），来寻求X的压缩变量T，从而有效地发现数据间隐含的模式。

By giving the joint probability distribution p ( x , y ) between a source variable X and its relevant variables Y , the Information Bottleneck method can seek a compression variable T of X and effectively find patterns hidden in data .

在独立平坦的瑞利衰落信道中，提出一种确定排序信道衰落因子大小的联合概率密度函数（PDF）序系数的方法。

In independent flat Rayleigh fading channels , the paper presented a method that evaluated the order coefficient of the joint probability density function ( PDF ) of the sorted channels gain magnitude ( CGM ) .

通过与联合概率数据关联（JPDA）方法的对比仿真，表明了该算法的有效性和快速性。

The simulation result shows that this algorithm is more effective and efficient compared with the joint probability data association ( JPDA ) method .

该算法需O（n2）次CI（条件独立）测试，CI测试的时间复杂度取决于由样本数据得到的联合概率函数表的大小。

The algorithm requires O ( n 2 ) times CI ( conditional independence ) test , while the time complexity of a CI test depends on the size of the joint probability table which is obtained from the sample data .

研究了用于数据关联的两个经典算法：最近邻域（NN）算法和联合概率数据关联（JPDA）算法，并指出了以上算法在密集及交叉回波环境下所存在的缺陷。

Researched two classical data association algorithms : NN and JPDA . Besides , pointed out that in environments existing dense or crossed echo , the two algorithms can lead to wrong result .

阐明了概率数据互联（PDA）算法能很好地解决密集环境下的目标跟踪问题，在该算法基础上，人们又提出了联合概率数据互联（JPDA）算法和一些基于PDA的修正算法。

Probabilistic data association ( PDA ) algorithm can resolve the problem of tracking targets in clutter . Based on the method , joint probabilistic data association algorithm ( JPDA ) and some modified algorithms were proposed .

在该算法基础上，人们又提出了多传感器联合概率数据互联（MSJPDA）算法和一些基于JPDA的修正算法。

Based on the method , MSJPDA and some modified algorithms are proposed . A very important parameter used in JPDA algorithm is clutter density .

最后，本文将基于遗传算法的模糊kalman滤波算法、快速联合概率数据关联算法和传感器级融合结构下的改进融合算法应用到现代机载雷达仿真系统中，取得了符合系统要求的仿真结果。

Finally , in this paper , the Genetic Algorithm-based Fuzzy Kalman Filter , Fast Joint Probabilistic Data Association algorithm and the modified fusion algorithm in sensor level fusion structure are applied to the modern airborne radar simulation system , and the simulation results are according with the system requirements .

传统的最邻近联合概率数据关联算法（NNJPDA）不能直接用于多传感器对多目标的跟踪。

The Nearest Near Joint Probabilistic Data Association ( NNJPDA ) is not used directly in multi-sensor multi-target tracking .

长期以来，在联合概率数据关联（JPDA）算法中，一直遵循一条可行性规则：一个回波（量测）只能来源于一个目标，一个目标也只能有一个回波。

The main contributions are as follows : ( 1 ) In joint probability data association ( JPDA ) algorithm , each return can belong to only one target , and each target can own only one return .

该模型可将水质方程中的任何水质参数、水力参数、初始条件等视为随机变量，采用Liouville方程计算相应的随机微分方程解过程的联合概率密度函数。

The proposed random model can treat any water quality coefficients , hydraulic parameters and initial conditions in the water quality equations as random variables , and the probability density functions of corresponding random differential equation are obtained by numerically solving Liouville equation .

若给定源变量与相关变量的联合概率分布，IB方法在对源变量进行压缩的同时，可使得压缩变量最大化地保存相关变量的信息，进而有效的发现数据集内所隐含的内在模式。

Given a joint probability distribution between a random variable X and an observed relevant variable Y , IB method is able to find the best tradeoff between accuracy and compression when clustering the variable X , and further it will get the internal law of data model effectively .

应用求解FPK方程近似解的一种新理论研究白噪声激励下船舶非线性横摇运动的联合概率密度函数及稳定期望穿阈率。

The stationary probability density function ( PDF ) and the stationary mean out-crossing rate ( MOR ) of the response of ship nonlinear roll-motion subjected to additive stochastic white noise excitation are examined by a new approximate method in this paper .

这主要是在波高与周期联合概率分布导算方法上，采用一种新的更灵活的联合分布模式以代替原来所用的由Ochi建议的二维对数正态模式；

The improved method makes use of a new model of the joint probability distribution P ( H , T ) instead of the " Bivariate Log - Normal " model proposed by Ochi .

传统的多目标跟踪数据关联算法有最邻近（NNDA）算法、联合概率数据关联（JPDA）算法等，但传统算法普遍存在关联耗时与关联准确度之间的矛盾。

The traditional multi-target tracking data association algorithm includes Nearest Neighbor Data Association ( NNDA ), Joint Probability Data Association ( JPDA ) , etc , but traditional algorithms generally have a contradiction between association time and association accuracy .