Generative and evaluative approaches are two different ways of diagnosing students’ input that have been realized in a number of intelligent tutoring systems. We describe how Ac...
This paper describes a new student model technology that combines evidences and knowledge about pedagogical and domain structure. Its structure is generated from the metadata avai...
: Case-based diagnosis handling multiple faults is still a challenging task. In this paper we present methods for handling multiple faults, embedded in the standard CBR cycle. The ...
Model-based diagnostic reasoning often leads to a large number of diagnostic hypotheses. The set of diagnoses can be reduced by taking into account extra observations (passive mon...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...