Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
We improve, by using register machines, some existing universality results for specific models of P systems. P systems with membrane creation are known to generate all recursivel...
Artiom Alhazov, Rudolf Freund, Agustin Riscos-N&ua...
In this paper we investigate the basic problem of Exploration of a graph by a group of identical mobile computational entities, called robots, operating autonomously and asynchrono...
d Abstract] Mikolaj Boja?nczyk Faculty of Mathematics, Informatics and Mechanics Warsaw University Poland Claire David LIAFA Universit?e Paris 7 France Anca Muscholl LIAFA Universi...
Mikolaj Bojanczyk, Claire David, Anca Muscholl, Th...