Examples of using Joint probability in English and their translations into Chinese
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The joint probability is.
If the two events are not independent, their joint probability is given by.
Then the joint probability can be written.
于是可以将联合概率可写为.The probability of both events happening is called joint probability.
两个事件共同发生的概率称为联合概率。The joint probability of the model is defined in terms of the energy:.
模型的联合概率是用能量来定义的:.The probability of the intersection of two events is called joint probability.
两个事件共同发生的概率称为联合概率。The joint probability of the model is defined in terms of the energy:.
模型的联合概率是根据能量来定义的:.When you crank up the correlation to the maximum, C= 1,the function equals the joint probability.
当c达到极值，即c=1时，函数等于联合概率。There's also a joint probability, the joint probability specifies.
另外一个是联合概率，联合概率是指.Such a probability distribution over many variables is known as a joint probability distribution.
这种多个变量的概率分布被称为联合概率分布（jointprobabilitydistribution）。Joint probability is the probability of two events in conjunction.
联合概率表示两个事件共同发生的概率。If two events, A and B are independent then the joint probability can be derived from the formula.
如果两个事件，A和B是独立的，则可以是来自于公式的联合概率.Joint probability is the probability of two events happening together.
联合概率表示两个事件共同发生的概率。With the assumption of independence between features,the NB learns a model of joint probability p(x, y), from each labeled article.
通过假设特征之间的独立性，NB从每个标签文章中学习联合概率p(x,y)的模型。Here p(X, Y) is a joint probability and is verbalized as“the probability of X and Y”.
其中p(X,Y)是联合概率，可以表述为“X且Y的概率”。Probably lots of the readersare familiar with the Boltzmann machine which models joint probability distribution of data using Boltzmann distribution.
也许很多读者都熟悉Boltzmann机器，该机器使用Boltzmann分布对数据的联合概率分布进行建模。We can also consider joint probability distributions over a combination of discrete and continuous variables.
我们也可以考虑离散变量和连续变量相结合的联合概率.Since the probability that the previous card was worth ten is 7/34, the joint probability, or the probability of both events occurring, is:.
由于上一张牌值十分的概率也是7/34，那么两个事件都发生的联合概率为：.That means that the joint probability distribution P_{X, Y} spans the space of possible function values for the function that we want to predict.
这意味着联合概率分布P(X,Y)跨越了我们想要预测的函数的可能取值空间。Models that decompose a joint probability into terms p(y) and p(x|y) are often called noisy-channel models.
将联合概率分解为p(y)和p(x|y)的模型通常被称之为噪声通道模型。From this joint probability, one can easily obtain the variational(marginalized) distribution of visible units by summing over the hidden units.
从这个联合概率，人们可以通过对隐藏单位求和来轻松获得可见单位的变分（边缘化）分布。We have seen that the joint probability of two independent events is given by the product of the marginal probabilities for each event separately.
我们已经知道两个独立事件的联合概率可以由各个事件的边缘概率的乘积得到。To lay our foundation, we need to quickly mention four concepts: probabilities, conditional probabilities, joint probabilities and marginal probabilities. .
为了大家能够建立一个基础，我们需要快速地提及四个概念：概率、条件概率、联合概率以及边际概率。During early exaggeration the joint probabilities in the original space will be artificially increased by multiplication with a given factor.
在早期增长阶段，原始空间中的联合概率将通过与给定因子相乘而被人为地增加。Remembering how we calculated joint probabilities, we can write the equations for P(man with long hair) and P(long hair and man).
根据联合概率计算规则，我们给出方程P(manwithlonghair)和P(longhairandman)。Now we define the joint log probability for the random variables being calibrated and the associated crack model defined by Equation 2:.
What do I mean by joint probabilities?
Jointprobability是什么意思?To lay our foundation, we need to quickly mention four concepts: probabilities, conditional probabilities, joint probabilities and marginal probabilities. .
为了打好基础，我们需要快速认识四个观念：机率（probabilities）、条件机率（conditionalprobabilities）、联合机率（jointprobabilities）和边际机率（marginalprobabilities）。And the probability of the joint occurrence of the event A.
则事件A发生的概率.The probability of the joint occurrence of the two is given by p?
两个事件的发生概率为P?
