Algorithm visualization is a widely–used tool for teaching data structures and algorithms. Spatial data algorithms are algorithms that are designed to process multidimensional d...
— Disruption-Tolerant networks (DTNs) differ from other types of networks in that capacity is exclusively created by the movements of participants. This implies that understandin...
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
The paper proposes meta-ontology of the user modeling field. Ontology is meant to structure the state-of-the-art in the field and serve as a central reference point and as a tool t...
Michael Yudelson, Tatiana Gavrilova, Peter Brusilo...