Circuit design under process variation can be formulated mathematically as a robust optimization problem with a yield constraint. Existing methods force designers to either resort...
Yu Ben, Laurent El Ghaoui, Kameshwar Poolla, Costa...
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Material limitations and fabrication costs generally run at odds with the creativity of architectural design, producing a wealth of challenging computational geometry problems. We...
The work described in this paper presents an approach on scheduling in a virtual enterprise in the tourism sector. This scheduling scenario has to reconcile customers' and ser...
We examine the approach of encoding planning problems as CSPs more closely. First we present a simple CSP encoding for planning problems and then a set of transformations that can...