Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
R-automata are finite state machines extended with counters which can be incremented or reset to zero along the transitions. The universality question asks whether there is a cons...
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
A consensus problem consists of finding a distributed control strategy that brings the state or output of a group of agents to a common value, a consensus point. In this paper, we...
Motif patterns consisting of sequences of intermixed solid and don't care characters have been introduced and studied in connection with pattern discovery problems of computa...