Electronic Interactive Whiteboard ( IWB) is a electronic teaching system with a high technical, which is a new way of applying information technology in teaching. 电子交互白板是一种高科技电子教学系统,是实现课堂教学信息化的高科技方式。
More importantly, IWB is employed, which is regarded as a major medium in the future classroom teaching and learning. 值得一提的是,本研究所采用的信息技术工具&交互白板,被认为是未来课堂教学中信息技术与学科课程整合的主流技术媒体。
In this paper, we define the reverse classifier, which can help an algorithm to learn from error, and propose a IBW ( improved weighted bagging) algorithm for classifying concept drift data streams using weighted ensemble classifiers. 本文定义了一种相反分类器来从错误中学习,提出了训练一个集合分类器来对具有概念流动的数据流进行分类的算法IWB。