What is the translation of " 贝叶斯方法 " in English?

• bayesian methods
• bayesian approach
• bayesian method

Examples of using 贝叶斯方法 in Chinese and their translations into English

强化学习和贝叶斯方法之间的联系。
The connection between Reinforcement Learning and Bayesian methods.

近期研究表明贝叶斯方法的利用可以带来许多好处。
Recent research has proven that the use of Bayesian approach can be beneficial in various ways.

变分贝叶斯方法主要是两个目的:.
Variational Bayesian methods are primarily used for two purposes:.

为什么贝叶斯方法在机器学习中会让我们有兴趣？?
Why is the Bayesian method interesting to us in machine learning?

采用贝叶斯方法可以避免过拟问题。
By adopting a Bayesian approach, the over-fitting problem can be avoided.

应用贝叶斯方法进行a/b测试.
Apply Bayesian methods to A/B testing.

决策理论，贝叶斯方法。
Decision theory, Bayesian methods.

我真的build议你阅读关于信息论，贝叶斯方法和MaxEnt。
I really recommend you read about Information Theory, bayesian methods and MaxEnt.

这样的边缘化是使用贝叶斯方法的模式识别的核心。
Such marginalizations lie at the heart of Bayesian methods for pattern recognition.

经验贝叶斯方法边缘分布Lindley's悖论.
Empirical Bayes methods Marginal probability Lindley's paradox.

现在我们通过引入这些参数的先验分布，来介绍贝叶斯方法。
Now we develop a Bayesian treatment by introducing prior distributions over these parameters.

这个方法现在被称为“贝叶斯方法”。
The work has now become known as the'Bates Method'.

贝叶斯方法还提供了非常多样的测量类型与典型的现有专家数据相结合的一种自然的方式。
Bayesian methods also provide a natural way of combining very diverse measurement types with typical prior expert data.

最近的研究证明，贝叶斯方法的使用可以通过各种方式带来好处。
Recent research has proven that the use of Bayesian approach can be beneficial in various ways.

对于非常小的数据集，贝叶斯方法通常是类中最好的，尽管结果可能对您的先验选择很敏感。
For very small datasets, Bayesian methods are generally the best in class, although the results can be sensitive to your choice of prior.

最后，我们将透过使用完全贝叶斯方法来改进这两者。
Finally, we will improve on both of those by using a fully Bayesian approach.

你会常常听到数据科学家使用传统统计学、贝叶斯方法、机器学习、计算工具、行业领域知识来回答问题。
You will often hear about data scientists using classical statistics, Bayesian methods, machine learning, computational tools and domain knowledge to solve these problems.

因此，学习贝叶斯方法，是研究自然语言处理问题的一个非常好的切入口。
Therefore, learning Bayesian method is a very good entry point to study Natural Language Processing problem.

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。
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.

在完全贝叶斯方法中，我们通过在多个模型上取平均值来解决这个问题，这样可以得到更好的不确定性预测。
In a full Bayesian approach, this is resolved by averaging out over multiple models, resulting in better uncertainty estimates.

贝叶斯方法是那些显式应用贝叶斯定理的问题,如分类和回归问题.
Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.

例如，频率论方法比贝叶斯方法更容易实施，然而却更难解释。
For instance, one could say that frequentist methods might be easier to apply than Bayesian methods, but more difficult to interpret.

因此，学习贝叶斯方法，是研究自然语言处理问题的一个非常好的切….
Therefore, learning Bayesian method is a very good entry point to study Natural Language Processing problem.

在一个全贝叶斯方法中，这可以通过在多个模型上进行平均来解决，获得更好的不确定性估计。
In a full Bayesian approach, this is resolved by averaging out over multiple models, resulting in better uncertainty estimates.

在用到贝叶斯方法的理论体系中，马尔可夫链蒙特卡洛方法尤其神秘。
Among the trademarks of the Bayesian approach, Markov chain Monte Carlo methods are especially mysterious.

要运用贝叶斯方法消去多余参数，必须先构造的先验分布。
To apply Bayesian method expunction extra parameters, we must construct the prior distribution of.

不过贝叶斯方法也广为许多领域接受及应用，例如在机器学习的领域中[8]。
Nonetheless, Bayesian methods are widely accepted and used, such as for example in the field of machine learning.

Bayes夏季课程中，授课人将讨论贝叶斯方法如何结合深度学习，并在机器学习应用中实现更好的结果。
Bayes summer school, we will discuss how Bayesian Methods can be combined with Deep Learning and lead to better results in machine learning applications.

贝叶斯方法说，应该考虑所有先前的相关概率，然后根据不断更新的信息来相应地更新这些概率。
The Bayesian method says that one should consider all prior relevant probabilities and then incrementally update them as newer information arrives.