This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
The main task in decision tree construction algorithms is to find the "best partition" of the set of objects. In this paper, we investigate the problem of optimal binary ...
Modern servers access large volumes of data while running commercial workloads. The data is typically spread among several storage devices (e.g. disks). Carefully placing the data...
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...