The paper have added log information in system, in order to achieve the distributed store, query and share. Based on these, proposed a complete strategy of intelligent Bayesian learning and weights update.
为了实现分布式存储、查询及信息的共享,在系统中加入了日志生成和反馈机制,并基于此提出了一套完整的贝叶斯智能学习及权重更新策略。
参考来源 - 基于贝叶斯的分布式反垃圾邮件系统的研究与实现·2,447,543篇论文数据,部分数据来源于NoteExpress
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