The purpose of this paper is to study the problem of pattern classification as this is presented in the context of data mining. Among the various approaches we focus on the use of ...
Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanak...
In the recent years, CSP's have come to be seen as the core problem in many applications. We propose here a hybrid algorithm (MC-FC) that combines two different search method...
A new paradigm in Semantic Web research focuses on the development of a new generation of knowledge-based problem solvers, which can exploit the massive amounts of formally speciļ¬...
Some telecommunication systems can not aļ¬ord the cost of repeating a corrupted message. Instead, the message should be somewhat ācorrectedā by the receiver. In these cases a...
Abstract. In this paper, we present a constraint-partitioning approach for ļ¬nding local optimal solutions of large-scale mixed-integer nonlinear programming problems (MINLPs). Ba...