PROBABILITY DISTRIBUTIONS - 翻译成中文

• 概率分布

在 英语 中使用 Probability distributions 的示例及其翻译为 中文

Now, every node looks at the messages it receives, and aggregates them to update its probability distributions of variables.
现在，每个节点都检查其收到的消息，然后将它们聚合起来以更新变量的概率分布。

Take a look at the plots of the Gaussian probability distributions below- imagine that these are probability distributions describing an real-world dataset.
查看下方的高斯概率分布图--假设这些图是描述现实世界中数据集的概率分布。

Nonparametric statistics are values calculated from data in a way that is not based on parameterized families of probability distributions.
非参数统计是从数据中计算出的值，该值不是基于参数化的概率分布族。

In essence, it answers the question:“given this type of distribution, what are some actual probability distributions I am likely to see?”.
本质上，它回答了这样一个问题：「给定某种分布，我看到的实际概率分布可能是什么样子？」.

In general, forecasters' probability distributions remained wide by historical standards, suggesting that uncertainty about future inflation outcomes at this horizon remained elevated.
总的来说，根据历史标准，预测人员的概率分布仍然很大，这表明在这个视野中未来通胀结果的不确定性仍然很高。

With higher weight decay however, the probability distributions generated become smoother and the correctly classified data starts to participate to the training, thus preventing overfitting.
当权重衰减较大，生成的概率分布会变得更加的平滑，正确分类的数据也开始参与到训练中，从而避免了过拟合。

It shows the probability distribution based on the measured values.
该曲线会显示基于测量值得到的可能的分布情况。

For example, p could be the probability distribution for the proportion of voters who will vote for a particular politician in a future election.
例如，先验可以是概率分布，其表示将在未来选举中投票给特定政治家的选民的相对比例。

Probability distribution functions can also be applied for discrete random variables, and even for variables that are continuous over some intervals and discrete elsewhere.
概率分布函数同样可以用于离散随机变量，甚至适用于在某些区间内为连续、在其他区间内为离散的变量。

Just because a Bayesian network lets us compactly represent a probability distribution doesn't mean we can also reason efficiently with it.
仅仅因为贝叶斯让我们简洁地表达概率分布，这并不意味着我们也可以利用它进行有效推理。

Instead, they exist as a wave function, a probability distribution that includes all the possible locations where a particle might be found.
相反，它们作为波函数存在，概率分布包括可能找到粒子的所有可能位置。

Suppose that we know the Fk(x) probability distribution function, which is defined as the probability that K<x.
假设我们知晓Fk(x)概率分布函数，其定义为K<x的概率。

Where y is our predicted probability distribution, and y′ is the true distribution(the one-hot vector with the digit labels).
这里\(y\)是所预测的概率分布，而\(y'\)是真实的分布(one-hotvector表示的图片label)。

At each moment, it uses its predicted probability distribution of steering commands to choose the most likely one to follow its route.
在每个时刻，它使用其预测的转向命令概率分布来选择最可能遵循其路线的概率分布。

Now that you know what a probability distribution is, let's learn about some of the most common ones!
现在您已经知道了概率分布是什么，让我们来学习一些最常见的分布!

Quantum signals have weird properties like superposition, where a particle's location is a probability distribution, and it has no precise location.
量子信号拥有奇怪的特性，比如粒子的位置是概率分布，并没有明确的位置。

Also, researchers usually have to face the problem of deciding whether or not a real-world probability distribution follows a power law.
此外，研究人员通常不得不面对决定现实概率分布是否遵循幂律的问题。

Unfortunately, the problems we often have are the lack of observational data, which can neither calculate the frequency of events nor determine the probability distribution.
不幸的是，我们经常面对的问题恰恰缺乏观测数据，从而既无法计算事件发生的频率也无法确定概率分布。

The probabilistic approach(described in this article) assumes that the measured data is random with probability distribution dependent on the parameters of interest.
概率方法（在本文中描述）假设测量数据是随机的，概率分布取决于感兴趣的参数。

Observe how in the example, the probability distribution is obtained solely by observing transitions from the current day to the next.
我们来观察一下在这个例子中，如何仅仅通过观察从当天到第二天的转换就得到概率分布。