Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
We propose a complete design for a scope limited, multihop broadcast middleware, which is adapted to the variability of the ad-hoc environment and works in unlimited ad-hoc networ...
Alaeddine El Fawal, Jean-Yves Le Boudec, Kav&eacut...
This article presents a rational model developed under the distributed cognition framework that explains how social tags influence knowledge acquisition and adaptation in explorat...
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail...