Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...
We present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constr...
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Constrained path problems have to do with finding paths in graphs subject to constraints. One way of constraining the graph is by enforcing reachability on nodes. For instance, i...
Estimating relative camera motion from two views is a classical problem in computer vision. The minimal case for such problem is the so-called five-point-problem, for which the st...