Rule systems have failed to attract much interest in large data analysis problems because they tend to be too simplistic to be useful or consist of too many rules for human interpr...
Thomas R. Gabriel, A. Simona Pintilie, Michael R. ...
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Abstract. Multi-agent systems are a natural way of decomposing complex systems into more manageable and decentralized units. Nevertheless, as single agents can represent complex su...
Lars Braubach, Alexander Pokahr, Winfried Lamersdo...
We consider the problem of constructing binary space partitions (BSPs) for orthogonal subdivisions (space filling packings of boxes) in d-space. We show that a subdivision with n...
Peer assessment is a technique that has been successfully employed in a variety of academic disciplines, and which is considered to be effective in developing student’s higher c...