片语

bayesian statistics inferencebayes统计推断

elementary Bayesian inference基础贝叶斯统计分析

Bayesian nonparametric inference非参数贝叶斯推理

bayesian network inference贝叶斯网络推理

Bayesian net inference贝叶斯网络推理

Collapsed variational Bayesian inference坍缩变分贝叶斯推断

Bayesian statistical inference贝叶斯统计推论

Bayesian Inference and Decision贝叶斯推理和决策

nonparametric Bayesian inference非参数贝叶斯推断

英汉例句

• bayesian inference treats model parameters as random variables whereas frequentist inference considers them to be estimates of fixed, 「true」 quantities.

  贝叶斯视模型参数为随机变量，而频率论者视总体参数为恒定值。从而导致对置信区间的不同解释。

• the method is to derive the maximum a posteriori estimate of the regions and the boundaries by using bayesian inference and neighborhood constraints based on markov random fields(mrfs) models.

  依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。

• the paper presents a kind of bayesian inference of simple signal in dynamic measurement. the simple measured signals and output signals are thought of as realizations of stochastic process.

  本文提出一种动态测试中单次性信号测试数据的贝叶斯推断方法，其中单次性的被测信号和输出信号被认为是随机过程的现实。

• bayesian inference has also gained prominence in e-mail spam-fighting, and in non-spam-related areas such as customer affinity engines (or, commercial recommendation engines).

  贝叶斯推理在对付电子邮件中的垃圾信息以及其他与垃圾信息不相关的领域（比如客户亲和力引擎，或商业推荐引擎）均有突出的表现。

• the method is to derive the maximum a posteriori estimate of the regions and the boundaries by using bayesian inference and neighborhood constraints based on markov random fields (mrfs) models.

  依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。

• we review the basic principle, formalism, and philosophy of bayesian inference and discuss its application in the context of the analytic continuation problem.

  我们回顾了他的基本原理，公式和贝叶斯原理的性质，并且讨论了它在解析延拓问题的应用。

• this paper builds a bayesian inference network model based on the rough sets and reason rules and apply it to fulfill the medical data mining work.

  本文构建了一个基于粗糙集和规则推理的贝叶斯网模型，并将其运用于现实病历数据进行挖掘工作。

• particle filter is a new real time inference algorithm, which is based on bayesian inference and monte carlo method.

  粒子滤波器算法是一种基于贝叶斯推理和蒙特卡罗方法的非线性、非高斯动态系统的实时推理算法。

• statistical inversion of seafloor parameters based on bayesian inference is an interesting topic in the research of underwater acoustics.

  基于贝叶斯定理的海底参数统计反演是当前水声学研究的热点之一。

• both likelihood ratio tests and bayesian inference are employed to study the phylogeny of phasianidae.

  应用似然比检验和贝叶斯推论进行雉科分子系统学研究。

• to improve the accuracy and speed in cycle-accurate power estimation, this paper uses multiple dimensional coefficients to build a bayesian inference dynamic power model.

  为改善周期精确级功耗分析的準确度和速度问题，使用多维特征参数建立贝叶斯推理的动态功耗模型。