贝叶斯定理 meaning in English
bayes theorem
bayes theory
bayesian inference
bayesian theorem
bayess theorem
bayesss theorem
s theorem
Examples
- That will make the classification accuracy fall down . we extract exception rule in the majority leaf nodes by referring to statistics view
这里我们用统计学分类的思想，利用贝叶斯定理对于大多数类叶子节点提取异常规则。 - Combined with the prior distribution of the model parameters and water quality observation data , joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem
结合模型参数的先验分布和水质监测数据，通过贝叶斯定理计算获得了表征参数分布规律的联合后验概率密度函数。 - In factual world , the uncertainty is very rich . in expert system , usually probability is defined as subjective credit degree of experts to evidence and regulation , and bayes theorem is key solution in probability reasoning
在专家系统中，概率一般解释为专家对证据和规则的主观信任度，在概率推理中起着支撑作用的是贝叶斯定理。 - Bayesian classification is based on bayesian theorem . it can be comparable in interpretability with decision tree and in speed with neural network classifiers . bayesian classifiers have also exhibited high accuracy and speed when applied to large databases
该算法基于贝叶斯定理，可解释性方面可以与判定树相比，准确度可和神经网络分类算法相媲美，用于大型数据库时该算法已表现出高准确度与高速度。 - Unlike other classifications , bayesian classification bases on mathematics and statistics , and its foundation is bayesian theory , which answers the posterior probability . theoretically speaking , it would be the best solution when its limitation is satisfied
与其它分类方法不同，贝叶斯分类建立在坚实的数理统计知识基础之上，基于求解后验概率的贝叶斯定理，理论上讲它在满足其限定条件下是最优的。