Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Multi-Context Systems (MCS) are formalisms that enable the interlinkage of single knowledge bases, called contexts, via bridge rules. Recently, the evaluation of heterogeneous, no...
Seif El-Din Bairakdar, Minh Dao-Tran, Thomas Eiter...
Our analysis of many real-world event based applications has revealed that existing Complex Event Processing technology (CEP), while effective for efficient pattern matching on e...
Di Wang, Elke A. Rundensteiner, Richard Ellison, H...
Virtually all histograms store for each bucket the number of distinct values it contains and their average frequency. In this paper, we question this paradigm. We start out by inv...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...