The Descriptive Component Display Theory describes explicitly the components of the instructional process; it dissects, identifies and summarizes learner performances; it likewise, dissects and synthesizes the subject matter content and matches content classification with learner performances. Possible presentation forms are also classified as are the modes with which these presentations can be...

Confounded information is an objective fact when using multi-instance learning (MIL) to classify bags of instances, which may be inherited by MIL embedding methods and lead questionable bag label prediction. To respond this problem, we propose the with deconfounded instance-level prediction algorithm. Unlike traditional embedding-based strategies, design a optimization goal maximize distinction...