bayesian classifier meaning in English
贝叶斯分类器
Examples
- Semi - naive bayesian classifier extends the structure of naive bayesian classifier in order to get rid of the limit of the assumption of independence between feature attributes of naive bayesian classifier and improve the performance of classification
半朴素贝叶斯分类模型对朴素贝叶斯分类模型的结构进行了扩展，其目的是为了突破朴素贝叶斯分类模型特征属性间独立性假设限制，提高分类性能。 - 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。 - Specifically , aiming at two widely used algorithms in data mining , naive bayesian classifier and boolean association apriori algorithm . we have brought forward two corresponding protocols incorporating privacy concerns . we have used secure multi - party computation protocols and tools to get the solutions
本文针对数据挖掘中应用较为广泛的朴素贝叶斯分类器和关联规则的apriori算法，利用安全多方计算的理论和工具，给出了与其相应的隐私性算法。