In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Many modern applications, from Grid computing to RSS handling, need to support data processing in a distributed environment. Currently, most such applications are implemented usin...
—Autonomic computing is a paradigm that aims at reducing administrative overhead by providing autonomic managers to make applications self-managing. In order to better deal with ...
Ahmad Al-Shishtawy, Vladimir Vlassov, Per Brand, S...
The ever growing request for digital information raises the need for content distribution architectures providing high storage capacity, data availability and good performance. Wh...