BAYESIAN in Chinese translation

• 贝叶斯
• bayesian

Examples of using Bayesian in English and their translations into Chinese

ARDRegression is very similar to Bayesian Ridge Regression, but can lead to sparser weights[1][2].
ARDRegression（主动相关决策理论）和BayesianRidgeRegression非常相似，但是会导致一个更加稀疏的权重w[1][2]。

ARD is also known in the literature as Sparse Bayesian Learning and Relevance Vector Machine[3][4].
ARD在文献中也被称为稀疏贝叶斯学习与RelevanceVectorMachine[3][4]。

Recently, a scalable version of the Bayesian SVM was developed by Wenzel et al. enabling the application of Bayesian SVMs to big data.
最近，Wenzel等人开发了一个可扩展的BayesianSVM版本，使BayesianSVMs应用于大数据。

Probabilities are automatically calculated when using the Bayesian method, but for others such as parsimony or maximum likelihood, we need alternative measures.
概率是在使用贝叶斯方法时自动计算的，但对于其他的，如吝啬或最大似然，我们需要替代措施。

It can also draw confidence ellipsoids for multivariate models, and compute the Bayesian Information Criterion to assess the number of clusters in the data.
它还可以为多变量模型绘制置信椭圆体，同时计算BIC（BayesianInformationCriterion，贝叶斯信息准则）来评估数据中聚类的数量。

An MIT study showed that the Bayesian Truth Serum“reduced errors by 21.3% compared to simple majority votes.”.
麻省理工学院的一项研究表明，贝叶斯真相血清“与简单多数票相比，减少了21.3％的错误。

All these names reference the use of Bayes' theorem in the classifier's decision rule, but naive Bayes is not(necessarily) a Bayesian method.
所有这些名称都引用了贝叶斯定理在分类器决策规则中的使用，但朴素贝叶斯（必然）不是贝叶斯方法。

The earliest applications of ensemble classifiers in change detection are designed with the majority voting, Bayesian average and the maximum posterior probability.
集成分类器在变化检测中的最早应用是通过多数投票、贝叶斯平均和最大后验概率设计的。

And it's a monster, harnessing three of the most powerful ideas in science today: Bayesian inference, open-source software, and reproducible research.
它是一个怪物，今天治理三个最有力的思想在科学︰贝叶斯推理、开放源码软件和重复性研究。

In contrast to Bayesian Ridge Regression, each coordinate of has its own standard deviation.
与贝叶斯岭回归相反，每个的坐标都有自己的标准偏差。

Silver even successfully finds a way to gently introduce the reader to Bayesian statistics, which is hard to believe but true.
西尔弗甚至还成功找到一种方法把贝叶斯统计深入浅出地介绍给读者，这虽然令人难以置信，但他确实做到了。

In the context of Bayesian inference, this is called the prior distribution P_X.
在贝叶斯推断的框架下，我们称之为先验分布P(X)。

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。

Hence, strategically, we have a Bayesian game- a game in which agents do not know the payoffs of the other agents.
所以，这是一个贝叶斯博弈--每个参与者无法完全得知其他参与者的收益函数。

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。

But the arguments that he does admit through his Bayesian door are, it seems to me, just as weak.
但参数,通过他的贝叶斯门他也承认,在我看来,正如弱。

ARDRegression is very similar to Bayesian Ridge Regression, but can lead to sparser weights[1][2].
ARDRegression与贝叶斯岭回归非常相似,但是可以学习到更稀疏的模型权重参数(sparserweights)\(w\)[1][2]。

Humans are not ideal Bayesian reasoners who can consider all hypotheses at once;
人类不是理想的贝叶斯反叛者，他们可以同时考虑所有假设;

The Hessian plays a central role in the Laplace approximation for a Bayesian neural network(see Section 5.7).
Hessian矩阵是贝叶斯神经网络（见5.7节）的拉普拉斯近似的核心。

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。