Abstract. We have presented an optimal algorithm for minimal cost loop problem (MCLP), which consists of finding a set of minimum cost loops rooted at a source node. In the MCLP, t...
Abstract. A groupware that integrates synchronous and asynchronous collaboration paradigms is developed to support international medical collaboration activities carried out among ...
We present a version of the CCP paradigm, which is both distributed and probabilistic. We consider networks with a fixed number of nodes, each of them possessing a local and indep...
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...