Abstract. Subsystem based generalizations of rough set approximations are investigated. Instead of using an equivalence relation, an arbitrary binary relation is used to construct ...
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
It is well-known that route distance estimates are influenced by the structure of the route. In particular, the number of features along the route (e.g. landmarks) and the structu...
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...