贝斯判定理论英文解释翻译、贝斯判定理论的近义词、反义词、例句
英语翻译：
【计】 Bayes decision theory
分词翻译：
贝的英语翻译：
seashell; shellfish
【医】 bel
斯的英语翻译：
this
【化】 geepound
判定理论的英语翻译：
【计】 decision theory
网络扩展解释
贝斯判定理论
贝斯判定理论，又称为贝叶斯法则、贝叶斯规则，是一种在概率论和统计学中广泛应用的理论。它基于贝叶斯定理，描述了在已知条件的情况下，如何估计一个事件的概率。贝斯判定理论的应用领域包括科学、工程、医学、金融、心理学等众多领域。
中文拼音
bèi sī pàn dìng lǐ lùn
英语解释翻译
Bayesian inference, also known as Bayesian reasoning, is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available.
英文读音
/ˈbeɪzɪən ɪnˈfɜːrəns/
英文的用法
The usage of Bayesian inference is common in scientific research and decision making. It is used to estimate probabilities of future events based on prior knowledge and new evidence.
英文例句
- Bayesian inference is widely used in machine learning and artificial intelligence.
- By applying Bayesian inference, we can update our beliefs and predictions as new data becomes available.
- Bayesian inference is a powerful tool for decision making in complex situations.
- Using Bayesian inference, we can calculate the probability of a specific outcome given certain conditions.
英文近义词
- Bayesian reasoning
- Bayesian statistics
- Subjective probability
- Conditional probability
英文反义词
- Frequentist statistics
- Classical statistics
- Objective probability
- Unconditional probability
英文单词常用度
Bayesian inference is a commonly used term in fields such as statistics, machine learning, and artificial intelligence.