Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
We compare the potential of two classes of linear and hierarchical models of discourse to determine co-reference links and resolve anaphors. The comparison uses a corpus of thirty...
Dan Cristea, Nancy Ide, Daniel Marcu, Valentin Tab...
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Hierarchical diagrams are well-suited for visualizing the structure and decomposition of complex systems. However, the current tools poorly support modeling, visualization and nav...
Tobias Reinhard, Christian Seybold, Silvio Meier, ...
Enterprise Architecture (EA) requires modeling enterprises across multiple levels (from markets down to IT systems). Providing tool support for such models is a challenge (e.g. mo...