This paper proposes APART (A Posteriori Active ReplicaTion), a novel active replication protocol specifically tailored for multi-tier data acquisition systems. Unlike existing ac...
Paolo Romano, Diego Rughetti, Francesco Quaglia, B...
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
In order to help the knowledge engineer and the expert during knowledge acquisition phase, the ACACIA Group is working on a knowledge acquisition methodology and tool (KATEMES)all...