The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Due to the increasing size of IP routing table and the growing rate of their lookups, many algorithms are introduced to achieve the required speed in table search and update or opt...
This talk outlines new facilities within human media spaces supporting embodied interaction between humans, animals, and computation both socially and physically, with the aim of ...
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...