The transformation layer will apply an inference process ( similar to forward-chaining) and check for each node in the plan tree to see which query transformations apply to that node. 转换层将应用一个推理过程(类似于前推链接法),并检查规划树中的每个节点,看哪些查询转换适用于该节点。
The learning for Bayesian classifier includes structure learning and parameter learning and inference class node of MAP. 贝叶斯分类器的学习包括结构学习,参数学习和最大后验概率类结点的推理。