This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.
该算法通过在增量学习中逐步积累样本的空间分布知识，使得对样本进行有选择地遗忘成为可能。
Rest on retaining the advantage of the red algorithm and introducing time relevance determination factor, this algorithm is effective to discard time-related data and reduce redundant information.
在保留主动队列管理算法RED算法优点的基础上，引入了时间相关判定因子，算法有效地丢弃时间相关的数据，减少冗余信息。
The algorithm adding new handling rule into exception handing base and filtering old rule to discard in rule base was designed.
设计了向异常处理数据库中添加新的处理规则的算法以及异常处理规则库中筛选记录的最久不用置换算法。
应用推荐