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bayesian

Vertaling van "bayesian" in Chinees

贝叶斯

貝葉斯

貝氏

These messages go to the bayesian learning folder.

会将这些邮件放到贝叶斯学习文件夹中。

Computing the posterior probability using bayesian regression gives direct answers to these types of questions.

利用贝叶斯回归并计算其后验概率能直接回答这类问题。

More recently these kinds of statistical approaches have been applied to more difficult tasks such as topic identification using Bayesian parameter estimation to infer topic probabilities in text documents.

這些統計方法更近期被應用在較難的任務，例如主題識別 - 估計貝氏參數以推斷文件主題為何的機率。

bayesian analysis to determine if the message or similar messages are sent in bulk

贝叶斯分析，用于确定是否批量发送消息或相似消息

On the right side of the plot are the posterior distributions of the parameters, this is the key information one wants to get from a bayesian regression analysis, from these distribution we can ask very important question like: what is the probability that my parameters have a value bigger than 0.

右侧的图显示了四个参数的后验分布，它们为整个贝叶斯回归分析提供了最重要的信息。通过这些分布我们可以解决很多重要问题，比如：某个参数值大于0的概率是多少？

This post will introduce you to bayesian regression in R, see the reference list at the end of the post for further information concerning this very broad topic.

本文将介绍如何在R中做贝叶斯回归分析，你能在文末的参考文献中找到相关主题的更多信息。

The results show that the structures are accordable with a little difference on parameters. (4) The application of distributed heterogeneous bayesian network model in mobile commerce.

分析结果表明两个模型的结构完全一致、参数差异非常小。（4）分布式异构贝叶斯网络模型在移动商务中的应用。

Proficienting in common machine learning algorithms (such as logical regression, SVM, decision tree, bayesian, etc.), with practical modeling experience

2、精通常见机器学习算法（如逻辑回归、SVM、决策树、贝叶斯等），有实际建模经验；

There are several packages for doing bayesian regression in R, the oldest one (the one with the highest number of references and examples) is R2WinBUGSusing WinBUGS to fit models to data, later on JAGS came in which uses similar algorithm as WinBUGS but allowing greater freedom for extension written by users.

R中有不少包可以用来做贝叶斯回归分析，比如最早的（同时也是参考文献和例子最多的）R2WinBUGS包。这个包会调用WinBUGS软件来拟合模型，后来的JAGS软件也使用与之类似的算法来做贝叶斯分析。然而JAGS的自由度更大，扩展性也更好。

In this paper, we propose a new agent identification method by using a sparse Bayesian model.

本文我们提出一种采用稀疏贝叶斯模型的全新药剂识别方法。

A new agent identification method using a sparse Bayesian model has been introduced and investigated in this paper.

本文介绍和研究了一种使用稀疏贝叶斯模型的新药剂识别方法。

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。