PROBABILISTIC MODEL 中文是什么意思 - 中文翻译

• 概率模型

在 英语 中使用 Probabilistic model 的示例及其翻译为 中文

This is a probabilistic model.
这是一种概率模式。

AI is the same thing: you don't compute the answer, you build a probabilistic model.
人工智能是一样的:你不计算答案，你建立一个概率模型。

A probabilistic model showed no acute risk.
概率模型显示没有严重危害。

This suggests that it might be worth exploring other types of discriminative probabilistic model.
这表明研究其他类型的判别概率模型可能会很有价值。

Fingerprinting is a probabilistic model and therefore is not 100% accurate.
指纹识别是概率模型，因此并非100%准确。

But there are plenty of other AI techniques available today, such as statistical and probabilistic models, and simulation engines.
今天还有很多其他的人工智能技术，比如统计和概率模型，以及仿真引擎。

For a complete probabilistic model we also need a prior distribution for the latent variable.
对于一个完整的概率模型，我们还需要隐变量的先验分布。

The 2010 Revision was the first revision of World Population Prospects that used a probabilistic model to derive the future path of fertility in the medium variant.
年订正本》是对《世界人口前景》的第一次修订，它使用概率模型，以中位变量推导生育率的未来走向。

To obtain a fully probabilistic model, the output is assumed to be Gaussian distributed around:.
为了获得一个完全概率模型，输出y被假定为高斯分布在周围：.

I like Flach especially for the grouping of algorithms(Logical models, Linear models, Probabilistic models) and the overall treatment of the themes.
我特别喜欢Flach算法的分组(逻辑模型、线性模型、概率模型)和主题的总体处理。

To obtain a fully probabilistic model, the output is assumed to be Gaussian distributed around:.
为了获得一个完全概率模型，输出y被假定为高斯分布在Xw周围：.

It should be emphasized that the conditional independence properties obtained from d-separation apply to any probabilistic model described by that particular directed graph.
应该强调的是，从D-划分中得到的条件独立性质适用于任何由那个特定的有向图描述的概率模型。

A probabilistic model has no reality; it is only a mathematical object that guides you in your analysis.
概率模型没有实体（reality），它仅仅是一个用来指导分析的数学对象。

Hedged Capital's trading algorithms use probabilistic models and technologies such as TFP.
HedgedCapital的交易算法使用了概率模型与类似TFP的概率建模技术。

Your first devise a probabilistic model for the primes- that is, you pretend to yourself that they have been selected according to some random procedure.
你首先对素数设计一种概率模型，即假装告诉自己，它们是根据某种随机过程挑选出来的。

In the 1990s, Bengio combined neural networks with probabilistic models of sequences, such as hidden Markov models..
在上个世纪九十年代，Bengio提出将神经网络与序列的概率建模相结合，例如隐马尔可夫模型这种序列的概率建模方法。

It is interesting that the probabilistic model is a model not of a physical phenomenon, but of another piece of mathematics.
很有意思，概率模型不仅仅是物理现象的模型，还能成为另一数学分支的模型。

Perceptron was originally coined by Frank Rosenblatt in his paper,“The perceptron: a probabilistic model for information storage and organization in the brain”(1956)[1].
首个有关感知机的成果，由Rosenblatt于1958年发表在《ThePerceptron:AProbabilisticModelforInformationStorageandOrganizationintheBrain》[3]的文章里。

The core idea is to find a probabilistic model with latent topics that can generate the data we observe in our document-term matrix.
其核心思想是找到一个潜在主题的概率模型，该模型可以生成我们在文档-术语矩阵中观察到的数据。

For example, it comes with in-built functions for creating probabilistic models and Bayesian Networks such as Bernoulli, Chi2, Uniform, Gamma, etc.
例如：它自带有可用于创建概率模型和贝叶斯网络(包括：Bernoulli、Chi2、Uniform、Gamma等)的内置功能。

Hence, Pyro can represent any probabilistic model, while providing automatic optimization-based inference that is flexible and scalable to large data sets.
因此，Pyro能够表征任意概率模型，同时提供灵活、可扩展到大型数据集的自动优化推断。

Such variables play a crucial role in many probabilistic models and will form the focus of Chapters 9 and 12.
这样的变量在许多概率模型中有着重要的作用，将在第9章和第12章详细讨论。

Steve Abney points out that probabilistic models are better suited for modeling language change.
SteveAbney还指出过，概率模型用于对语言变化建模，也更有优势。

BayesianRidge estimates a probabilistic model of the regression problem as described above.
BayesianRidge类会估计一个求解回归问题的概率模型(probabilisticmodel)。

Geographical Information System-based landslide probabilistic model with trivariate approach: a case study in Sikkim Himalayas.
基于地理信息系统的三变量法山崩概率模型：锡金喜马拉雅山个案研究.

She was the first cognitve scientist to apply probabilistic models to children's learning, particularly using the causal Bayes net framework.
Gopnik是第一位将概率模型应用于儿童学习的认知科学家，特别是使用因果贝叶斯网络框架。

Applications of statistical and probabilistic models to tasks in information management(e.g. prediction, ranking, and data reduction) are emphasized.
统计和概率模型来在信息管理任务（例如预测，排名和数据还原）的应用程序被强调。

Both LDA and QDA can be derived from simple probabilistic models which model the class conditional distribution of the data for each class.
LDA和QDA都可以从简单概率模型中得出，该概率模型为每个类别对数据进行分类条件分布建模。

This approach employs relational probabilistic models that have the capability of handling rich relational data and modeling uncertainty using probability theory.
该应用采用的是关系概率模型，具有使用概率理论处理富关系数据以及进行不确定性建模的能力。

A graphical model or probabilistic graphical model(PGM) is a probabilistic model for which a graph expresses the conditional dependence structure between random variables.
图模型或概率图模型（PGM/probabilisticgraphicalmodel）是一种概率模型，一个图（graph）可以通过其表示随机变量之间的条件依赖结构（conditionaldependencestructure）。