POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Design simplification is becoming necessary to respect the target time-to-market of SoCs, and this goal can be obtained by using predesigned IP-cores. However, their correct inte...
We study how electronic markets that facilitate broader inter-firm transactions affect the vertical scope of emerging IT-enabled extended enterprises. We do so by modeling firms...