What is the translation of " BAYESIAN " in Chinese?

• 贝叶斯
• bayesian
• 一个贝叶斯

Examples of using Bayesian in English and their translations into Chinese

Why use the Bayesian Framework?
那么为什么而动用Mybatis框架。?

Let the light do the design" is the famous saying of Bayesian.
让光线来做设计”是贝氏的名言。

And what it means is we really are Bayesian inference machines.
这说明我们实际上都是天生的贝叶斯推断器.

In contrast to Bayesian Ridge Regression, each coordinate of has its own standard deviation.
与BayesianRidgeRegression_不同，每个都有一个标准差。

Assessment of the Reliability of Fault-Tolerant Software: A Bayesian Approach.
的容错软件的可靠性评估：一个贝叶斯方法。

The new approach, known as Bayesian Program Learning, or B.P. L.
这个新方法称为BayesianProgramLearning，简称为B.P.

BIC: The Bayesian Information Criterion is a penalized likelihood-based criterion.
BIC准则(Bayesianinformationcriterion)是惩罚性似然值检验标准的一种。

The most common structure learning algorithms assume the data is generated by a Bayesian Network, and so the structure is a directed graphical model.
最常见的结构学习算法假设数据由一个贝叶斯网络生成，这时结构为一个有向图模型。

The Bayesian Analysis and Modeling Research Group aims to support and enhance research opportunities for its members through a range….
贝叶斯分析和建模研究小组旨在支持并通过了一系列加强其成员研究的机会….

Several times I tried to learn MCMC and Bayesian inference, but every time I started reading the books, I soon gave up.
有几次我尝试着学习MCMC和贝叶斯推理，我每次从阅读书籍开始，结果却很快放弃。

Bayesian method A Bayesian method is a method by which a statistical analysis of an unknown or uncertain quantity is carried out in two steps.
贝叶斯方法：贝叶斯方法是对未知或不确定的量分两步进行统计分析的一种方法。

Following John C. Harsanyi's framework, a Bayesian game can be modeled by introducing Nature as a player in a game.
约翰·C·海萨尼的框架，[1]一个贝叶斯博弈可以仿照作为一个球员在一场比赛中通过引入自然。

Bayesian theory and Bayesian probability are named after Thomas Bayes(1702- 1761), who proved a special case of what is now called Bayes' theorem.
贝叶斯理论和贝叶斯概率以托马斯·贝叶斯（1702－1761）命名，他证明了现在称为贝叶斯定理的一个特例。

A variant of this quantity, called the Bayesian information criterion, or BIC, will be discussed in Section 4.4.1.
这种方法的一个变种为Bayesianinformationcriterion或者BIC，在第4章4.1节介绍。

In Bayesian model comparison, the marginalized variables are parameters for a particular type of model, and the remaining variable is the identity of the model itself.
在贝叶斯模型比较，被边缘化的变量的参数用于特定类型的模型，其余可变标识的的模型本身。

Model ensembles should not be confused with Bayesian model averaging(BMA)- the theoretically optimal approach to learning.
模型集成不应与贝叶斯模型平均（bayesianmodelaveraging，BMA）混淆，后者是学习的一种理论最优化方法【4】。

The GAUSS Bayesian Estimation Tools package provides a suite of tools for estimation and analysis of a number of pre-packaged models.
BayesianEstimationTools一整套用于估计和分析一系列预打包模型的工具。

Students and professionals with a technical background who want to learn Bayesian machine learning techniques to apply to their data science work.
具有技术背景的学生和专业人士希望学习贝叶斯机器学习技术，以应用于他们的数据科学工作.

Like neural networks, Bayesian methods can learn from data, but this breed of machine learning happens in a different way.
跟神经网络一样，贝叶斯方法（bayesianmethods）也可以从数据中学习，但这种类型的机器学习是以一种不同的方式进行的。

Other models are based on the sophisticated neural networks model or the Bayesian analysis model, each with its method of registering factors, calculating and predicting.
其他模型基于复杂的神经网络模型或贝叶斯分析模型，每种模型都有其注册因子、计算和预测的方法。

The original ensemble method is Bayesian averaging, but more recent algorithms include error-correcting output coding, Bagging, and boosting.
最初的集成方法是贝叶斯平均，但最近的算法包括纠错输出编码，装袋和增强。

New algorithms for personalized tutoring, such as Bayesian Knowledge Tracing, enable individualized mastery learning and problem sequencing.
对于个性化辅导的新算法，例如BayesianKnowledgeTracing，让个体掌握学习和解决问题的次序。

A First Course in Bayesian Statistical Methods,* by Peter Hoff(Springer, 2009), is an introduction to Bayesian statistics.
PeterHoff的AFirstCourseinBayesianStatisticalMethods*（Springer,2009）一书则对贝叶斯统计进行了介绍。

From physics energy(modelling) ideas stem a bayesian interpration of deep learning that can yield to more(physical) energy efficient models.
从物理能量（建模）思想出发推导出深度学习的一个贝叶斯形式，能带来（现实中）更能源高效的模型。

Modeling and Reasoning with Bayesian Networks,* by Adnan Darwiche(Cambridge University Press, 2009), explains the main algorithms for inference in Bayesian networks.
AdnanDarwiche的ModelingandReasoningwithBayesianNetworks*（CambridgeUniversityPress,2009）一书解释了贝叶斯网络中用于推理的主要算法。

The original ensemble method is Bayesian averaging, but more recent algorithms include error-correcting output coding, Bagging, and boosting.
原始的集成方法是贝叶斯平均，但是最近的算法包括纠错输出编码、Bagging和Boosting。

Note that using a Variational Bayesian Gaussian mixture avoids the specification of the number of components for a Gaussian mixture model.
注意：使用VariationalBayesianGaussianmixture可以避免高斯混合模型中分量数的选择。

It can be widely used in anomaly detection, Bayesian networks, CARMA, Cox regression and basic neural networks that use multilayer perceptron with back-propagation learning.
它可广泛用于异常检测、贝叶斯网络、CARMA、Cox回归以及使用多层感知器和反向传播学习的基本神经网络。

It can also be used for anomaly detection, Bayesian networks, CARMA, Cox regression and basic neural networks that use multilayer perceptron with back-propagation learning.
它也可以用于异常检测、贝叶斯网络、carma、cox回归以及使用多层感知器进行反向传播学习的基本神经网络。

The original ensemble method is Bayesian averaging, but more recent algorithms include error-correcting output coding, Bagging, and boosting.
最初的集成方法是贝叶斯平均法(Bayesianaveraging)，但是最近的算法集还包括了纠错输出编码(error-correctingoutputcoding)，bagging和boosting.