feature attribute meaning in Chinese

特征属性

The key of model learning of semi - naive bayesian classifier is how to combine feature attributes effectively
目前半朴素贝叶斯分类模型学习的关键是如何有效组合特征属性。
In this strategy , the theory and methods of attribute importance within rough set were applied to define the weight of each feature attribute of the case ; the theory and methods of knowledge reduction was applied to define the index of the case knowledge base
在该策略中，运用粗糙集中属性重要度的理论和方法，确定事例各特征属性的权重，运用知识约简的理论和方法判断事例知识库的索引。
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。