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。
Statistical inversion of seafloor parameters based on Bayesian inference is an interesting topic in the research of underwater acoustics.
贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。
Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.
通过分析贝叶斯定理的变形公式和属性相关性度量，提出一种基于强属性限定的贝叶斯分类模型SANBC。
On the basis of analyzing a variant of Bayes theorem and the evaluation of condition attribute with correlation, SANBC is proposed.
应用推荐