"Spatial structures and spatial reasoning are essential to perception and cognition. Much
day-to-day practical information is about what happens at certain spatial locations....
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
In this paper, we report on the design of a part-of-speech-tagset for Wolof and on the creation of a semi-automatically annotated gold standard. The main motivation for this resou...
Cheikh M. Bamba Dione, Jonas Kuhn, Sina Zarrie&szl...