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...
The emergence of portable computers and wireless technologies has introduced new challenges for middleware. Mobility brings new requirements and is becoming a key characteristic. M...
The Semantic Web is bound to be untrustworthy and inconsistent. In this paper, we present an initial approach for obtaining useful information in such an environment. In particular...
Abstract Fabio Massacci1 and Nicola Zannone1 Department of Information and Communication Technology University of Trento - Italy {massacci,zannone} at dit.unitn.it The last years h...
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...