Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applicatio...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
We consider the problem of efficient information retrieval in asymmetric communication environments where multiple clients with limited resources retrieve information from a power...
Data archiving systems rely on replication to preserve information. This paper discusses how a network of autonomousarchiving sites can trade data to achievethe most reliable repl...
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...