Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
Given the proven usefulness of ontologies in many areas, the representation of logical axioms associated to ontological concepts and relations has become an important task in order...
Luis Del Vasto Terrientes, Antonio Moreno, David S...
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Abstract. In this paper we propose an algorithm for personalized learning based on a user’s query and a repository of lecture subparts —i.e., learning objects— both are descr...
This paper presents the project LEBONED that focuses on the integration of digital libraries and their contents into web-based learning environments. We describe in general how th...
Frank Oldenettel, Michael Malachinski, Dennis Reil