In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
Abdullah Almaksour, Eric Anquetil, Solen Quiniou, ...
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
Using effective teaching practices is a high priority for educators. One important pedagogical skill for computer science instructors is asking effective questions. This paper pre...
Kristy Elizabeth Boyer, William Lahti, Robert Phil...
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...