class probability
英 [klɑːs ˌprɒbəˈbɪləti]
美 [klæs ˌprɑːbəˈbɪləti]
网络 类别概率
双语例句
- The AEC had classified hypothetical reactor accidents from Class 1 ( trivial incidents with high occurrence probability) to Class 9 ( ultimate severity with occurrence highly unlikely).
原子能委员会把假想的反应事故分为1级（小事故最大发生率）至9级（最严重事故最小发生率）。 - So, I think we're a little bit out of time today, but we'll start next class with thinking about drawing radial probability distributions of more than just the1 s orbital.
快没时间了，但我们，在下节课会讲，1s轨道以外的，径向概率分布。 - A class of discrete type random variable probability distributions, called negative geometric distribution and negative hypergeometric distribution, are discussed.
本文研究了一类离散型随机变量的概率分布，称之为负几何分布和负超几何分布。 - Only when Class-conditional-probability density is known, the theory can be used.
但这一理论的应用是以己知类条件概率密度为前提。 - The other is to use a class transition probability matrix to model the high-level information hidden in Gaussian mixture correlation ( GMC).
另一种方法是通过计算类转移概率矩阵来对隐藏于高斯混合相关（GMC）中的说话人高层信息进行建模。 - Based on the auditory tests, this paper proposes a new nonlinear class estimation algorithm based on the maximum a posteriori probability of the independent subband to improve the robust of recognition systems.
本文以听觉试验为基础，提出一种新的独立子带并行最大后验概率的非线性类估计算法，用以提高识别系统的鲁棒性。 - In the class, the matching is based on matching probability.
在类内匹配时进行基于匹配概率搜索。 - The auto class generator can improve the efficiency and reduce the error probability.
为配合持久层开发面向对象应用，我们同时提出了自动生成持久类的CASE工具的概念，应用自动类生成器可以大大提高开发效率，减少手工编码出错的几率。 - All Order Moments for a Class of Mixed Probability Operators
一类混合概率型算子的任意阶矩 - The paper discusses the probability distribution of maximum for a class of Weibull process. It respectively gives the formulas of probability distribution of maximum of sample function of Weibull square wave process and Weibull monotone process of structural stress during the period [ 0, T].
本文讨论威布尔过程的最大值分布问题，获得结构应力S（t）在设计基准期〔0，T〕内的威布尔方波过程和复合单调威布尔过程的样本函数最大值概率分布表达式。 - Touching-ball problem is one of the important and frequently seen pro-blems in class in classical probability.
摸球问题是古典概率中一类重要而常见的问题，本文从解排列组合应用题，证代数恒等式。 - Bayesian classifier are can predict class membership probabilities, such as the probability that a given sample belongs to particular class.
贝叶斯分类可以预测类成员关系的可能性，如给定样本属于一个特定类的概率。 - The auther defines and discusses a class of correlated random walks with the absorbing probability generating functions at nth step, explicit expres-sions of ultimate absorbing probability and expected duration by the method of generating function.
定义并讨论了具有吸收壁的一类相关随机游动，并利用母函数的方法导出了在第n步被吸收的概率母函数表达式、最终吸收的概率及期望持续时间的明显表达式等。 - Admissibility of Strict π ps Sampling Scheme in Class of Unequal Probability Sampling Scheme Without Replacement
严格πps抽样方案在不放回不等概率抽样方案中的可容许性 - A Class of High Range-Resolution Waveforms Possessing the Property of Low Probability of Intercept
一类低截获概率距离高分辨力信号 - This paper describes a spatially explicit stochastic model based on Markov chains and maximum likelihood rule, which includes the landscape pattern expressed by class concurrences probability matrix and adaptive local estimation.
该文建立依据马尔柯夫链模型和最大似然概率原则的统计概率模型，将景观格局特征利用类别共生概率矩阵表达在模型中，其次采用动态统计来考虑不同位置处模型参数的局部化。 - An Approximation Method for Solving A Class of Probability Constrained Programming
求解某类概率约束规划的一种逼近法 - I hope it can improve the class teaching of the Probability and Statistics in normal colleges.
希望对今后师专概率论与数理统计课堂教学有所借鉴和帮助。 - For a sort of two parameter probability models with their parameters specifically chosen, a class of typical probability density curves is drawn out. On the basis of the curves, statistical meaning of parameters in the model and the data range of fitting are revealed.
针对一类二参数概率模型，选取特殊的参数值，做出一批有代表性的概率密度曲线，并通过这些密度曲线揭示出模型中各参数的统计含义及模型所适用的拟合数据的范围。 - In the same development intensity, the higher class of cloud, the higher probability of gale.
发展强度相同，类别愈高则大风机率愈高。 - Kernel density estimation is used to estimate the class conditional probability density of differencing image, and is combined with weighted MRF to classify the differencing image. Finally, the change detection map is generated.
首先采用核密度估计的方法估计差异图像的类条件概率密度，再结合变权MRF模型进行差异图像的分类，生成变化检测结果图。 - A strong conditional independence assumption for NB is made like this: in each class the probability distribution of an attribute ( i.e. feature) is independent of that of other attributes.
朴素贝叶斯分类器要以一个很强的条件独立性假设为前提，即假设在各个类中，每个属性变量（也称作特征）的概率分布独立于其它属性变量的概率分布。 - In the algorithm, the class conditional probability density function was defined as the reciprocal of the distance between sample X and the cluster center.
在概率聚类算法中，类条件概率密度函数定义为样本X到该类聚类中心之间距离的倒数。 - This method applies probability into SVM, make SVM classification results with the probability characteristic, so that we can not only obtain the class that the sample belongs to, but also obtain the probability that the sample belongs to the class.
该方法将概率应用到支持向量机中去，使得支持向量机的分类结果具有概率特性，不仅能得到样本所属的类，而且还能得到属于该类的概率。 - In section 2 we set up state density evolution equations for a class of Markov chain defined in the view of probability and prove a sufficient condition for the existence of the solution ( theorem 3.2.1).
第二节则从过程的概率特性出发，建立了一类离散状态马氏过程的密度演化方程，给出了该方程解存在唯一的充分条件（定理3.2.1）。 - We sup-pose in each class, samples are of normal distribution, and the features are independent of each other. We build Bayes posterior probability classifier with estimated parameter, and classify each sample to the class with high-est probability.
该方法假设每个类别内的样本服从正态分布且各个特征间相互独立，通过朴素贝叶斯分类器建立每类肿瘤的后验概率模型，将样本分入后验概率最大的一类中去。 - SOA structure in the application class provides the enterprises with more integration probability.
在应用层的构建上，SOA架构也为企业提供集成可能。 - Bayesian classifier is a typical classifier based on statistics. It can forecast the possibility of class membership, for example, calculating the probability of a sample belonging to a special class.
贝叶斯分类是一种典型的基于统计方法的分类方法，它可以预测类成员关系的可能性，如给定样本属于一个特定类的概率。