Bayesian learning

  1. 贝叶斯学习

网络词典

Bayesian learning

英 ˈbeɪzɪən 美 ˈbeɪzɪən
名词 中文翻译:贝叶斯学习
同义词: ['贝叶斯统计,贝叶斯推断,贝叶斯方法例句:1. Bayesian learning is a method of statistical inference that uses probability theory to make predictions based on prior knowledge.(贝叶斯学习方法是一种基于先验知识的统计推断方法。)2. In Bayesian learning', 'the prior knowledge is used to update the probability distribution of the data.(在贝叶斯学习中,使用先验知识来更新数据的概率分布。)']

例句:

  1. 1. Bayesian learning is a method of statistical inference that uses probability theory to make predictions based on prior knowledge.
    贝叶斯学习方法是一种基于先验知识的统计推断方法。
  2. 2. In Bayesian learning, the prior knowledge is used to update the probability distribution of the data.
    在贝叶斯学习中,使用先验知识来更新数据的概率分布。
  3. 3. The Bayesian learning algorithm can be used to improve the accuracy of machine learning models by incorporating uncertainty into the decision-making process.
    贝叶斯学习算法可以通过将不确定性纳入决策过程来提高机器学习模型的准确性。