Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...
This article presents an empirical study performed to evaluate the Moodle usability, from the point of view of teachers who are using this system to support their classes. The usa...
: Course generation knowledge, i.e., how to assemble a sequence of learning objects which is adapted to a learner’s goals, competencies and preferences, is hard to assess and exp...