The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Effective reuse of Knowledge Bases (KBs) often entails the expensive task of identifying plausible KB-PS (Problem Solver) combinations. We propose a novel technique based on Const...
Tomas Eric Nordlander, Derek H. Sleeman, Ken N. Br...
In this paper, we describe progress we have made toward providing cognitive tutoring to students within a collaborative software environment. First, we have integrated a collaborat...
Andreas Harrer, Bruce M. McLaren, Erin Walker, Lar...